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Data Mining using R | Data Mining Tutorial for Beginners | R Tutorial for Beginners | Edureka
 
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( R Training : https://www.edureka.co/r-for-analytics ) This Edureka R tutorial on "Data Mining using R" will help you understand the core concepts of Data Mining comprehensively. This tutorial will also comprise of a case study using R, where you'll apply data mining operations on a real life data-set and extract information from it. Following are the topics which will be covered in the session: 1. Why Data Mining? 2. What is Data Mining 3. Knowledge Discovery in Database 4. Data Mining Tasks 5. Programming Languages for Data Mining 6. Case study using R Subscribe to our channel to get video updates. Hit the subscribe button above. Check our complete Data Science playlist here: https://goo.gl/60NJJS #LogisticRegression #Datasciencetutorial #Datasciencecourse #datascience How it Works? 1. There will be 30 hours of instructor-led interactive online classes, 40 hours of assignments and 20 hours of project 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. You will get Lifetime Access to the recordings in the LMS. 4. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate! - - - - - - - - - - - - - - About the Course Edureka's Data Science course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities. - - - - - - - - - - - - - - Why Learn Data Science? Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework. After the completion of the Data Science course, you should be able to: 1. Gain insight into the 'Roles' played by a Data Scientist 2. Analyse Big Data using R, Hadoop and Machine Learning 3. Understand the Data Analysis Life Cycle 4. Work with different data formats like XML, CSV and SAS, SPSS, etc. 5. Learn tools and techniques for data transformation 6. Understand Data Mining techniques and their implementation 7. Analyse data using machine learning algorithms in R 8. Work with Hadoop Mappers and Reducers to analyze data 9. Implement various Machine Learning Algorithms in Apache Mahout 10. Gain insight into data visualization and optimization techniques 11. Explore the parallel processing feature in R - - - - - - - - - - - - - - Who should go for this course? The course is designed for all those who want to learn machine learning techniques with implementation in R language, and wish to apply these techniques on Big Data. The following professionals can go for this course: 1. Developers aspiring to be a 'Data Scientist' 2. Analytics Managers who are leading a team of analysts 3. SAS/SPSS Professionals looking to gain understanding in Big Data Analytics 4. Business Analysts who want to understand Machine Learning (ML) Techniques 5. Information Architects who want to gain expertise in Predictive Analytics 6. 'R' professionals who want to captivate and analyze Big Data 7. Hadoop Professionals who want to learn R and ML techniques 8. Analysts wanting to understand Data Science methodologies For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free). Website: https://www.edureka.co/data-science Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Customer Reviews: Gnana Sekhar Vangara, Technology Lead at WellsFargo.com, says, "Edureka Data science course provided me a very good mixture of theoretical and practical training. The training course helped me in all areas that I was previously unclear about, especially concepts like Machine learning and Mahout. The training was very informative and practical. LMS pre recorded sessions and assignmemts were very good as there is a lot of information in them that will help me in my job. The trainer was able to explain difficult to understand subjects in simple terms. Edureka is my teaching GURU now...Thanks EDUREKA and all the best. " Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka
Views: 70256 edureka!
Extract Structured Data from unstructured Text (Text Mining Using R)
 
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A very basic example: convert unstructured data from text files to structured analyzable format.
Views: 12792 Stat Pharm
Data Mining: How You're Revealing More Than You Think
 
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Data mining recently made big news with the Cambridge Analytica scandal, but it is not just for ads and politics. It can help doctors spot fatal infections and it can even predict massacres in the Congo. Hosted by: Stefan Chin Head to https://scishowfinds.com/ for hand selected artifacts of the universe! ---------- Support SciShow by becoming a patron on Patreon: https://www.patreon.com/scishow ---------- Dooblydoo thanks go to the following Patreon supporters: Lazarus G, Sam Lutfi, Nicholas Smith, D.A. Noe, سلطان الخليفي, Piya Shedden, KatieMarie Magnone, Scott Satovsky Jr, Charles Southerland, Patrick D. Ashmore, Tim Curwick, charles george, Kevin Bealer, Chris Peters ---------- Looking for SciShow elsewhere on the internet? Facebook: http://www.facebook.com/scishow Twitter: http://www.twitter.com/scishow Tumblr: http://scishow.tumblr.com Instagram: http://instagram.com/thescishow ---------- Sources: https://www.aaai.org/ojs/index.php/aimagazine/article/viewArticle/1230 https://www.theregister.co.uk/2006/08/15/beer_diapers/ https://www.theatlantic.com/technology/archive/2012/04/everything-you-wanted-to-know-about-data-mining-but-were-afraid-to-ask/255388/ https://www.economist.com/node/15557465 https://blogs.scientificamerican.com/guest-blog/9-bizarre-and-surprising-insights-from-data-science/ https://qz.com/584287/data-scientists-keep-forgetting-the-one-rule-every-researcher-should-know-by-heart/ https://www.amazon.com/Predictive-Analytics-Power-Predict-Click/dp/1118356853 http://dml.cs.byu.edu/~cgc/docs/mldm_tools/Reading/DMSuccessStories.html http://content.time.com/time/magazine/article/0,9171,2058205,00.html https://www.nytimes.com/2012/02/19/magazine/shopping-habits.html?pagewanted=all&_r=0 https://www2.deloitte.com/content/dam/Deloitte/de/Documents/deloitte-analytics/Deloitte_Predictive-Maintenance_PositionPaper.pdf https://www.cs.helsinki.fi/u/htoivone/pubs/advances.pdf http://cecs.louisville.edu/datamining/PDF/0471228524.pdf https://bits.blogs.nytimes.com/2012/03/28/bizarre-insights-from-big-data https://scholar.harvard.edu/files/todd_rogers/files/political_campaigns_and_big_data_0.pdf https://insights.spotify.com/us/2015/09/30/50-strangest-genre-names/ https://www.theguardian.com/news/2005/jan/12/food.foodanddrink1 https://adexchanger.com/data-exchanges/real-world-data-science-how-ebay-and-placed-put-theory-into-practice/ https://www.theverge.com/2015/9/30/9416579/spotify-discover-weekly-online-music-curation-interview http://blog.galvanize.com/spotify-discover-weekly-data-science/ Audio Source: https://freesound.org/people/makosan/sounds/135191/ Image Source: https://commons.wikimedia.org/wiki/File:Swiss_average.png
Views: 147405 SciShow
Introduction to Data Science with R - Data Analysis Part 1
 
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Part 1 in a in-depth hands-on tutorial introducing the viewer to Data Science with R programming. The video provides end-to-end data science training, including data exploration, data wrangling, data analysis, data visualization, feature engineering, and machine learning. All source code from videos are available from GitHub. NOTE - The data for the competition has changed since this video series was started. You can find the applicable .CSVs in the GitHub repo. Blog: http://daveondata.com GitHub: https://github.com/EasyD/IntroToDataScience I do Data Science training as a Bootcamp: https://goo.gl/OhIHSc
Views: 971592 David Langer
Statistics for Data Science 2018 Part 1 | Statistics Tutorial For Beginners | Data Science Tutorial
 
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Statistics for Data Science 2018 Part 1 | Statistics Tutorial for Beginners | Data Science Tutorial https://acadgild.com/big-data/data-science-training-certification?aff_id=6003&source=youtube&account=c27EwKNIanQ&campaign=youtube_channel&utm_source=youtube&utm_medium=statistics-tut-sumit-part-1&utm_campaign=youtube_channel Hello and Welcome to one of the Best Data Science tutorial conducted by Acadgild. This video talks about applications of statistics for data science. Let’s check the topics covered in this tutorial. After completing this training session, you will be able to learn, • Introduction to Statistics • Basic Statistics • Introduction to the Basic Terms of Statistics • What are Variables • The Measure of Central Tendency the Mean, Median, and Mode • The Measures of Dispersion • What is a Range • What is Sample Variance • Standard Deviation • Population Vs Sample • What is Chebysheff’s Theorem • Law of Expected Values and Variance • Probability Density Function Check out the basic terms used in statistics: Variable, Data (singular), Data (plural), Experiment, Parameter, Statistics. Kinds of Variables or Types of Variable: Qualitative or Attributive or Categorical variable Kindly, go through the complete video and learn more about statistics and please subscribe the channel for more updates on the latest technical skills and tutorials. For more updates on courses and tips follow us on: Facebook: https://www.facebook.com/acadgild Twitter: https://twitter.com/acadgild LinkedIn: https://www.linkedin.com/company/acadgild
Views: 41739 ACADGILD
Cure Algorithm in Hindi | Big data analytics Tutorials
 
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visit our website for full course www.lastmomenttuitions.com NOTES: https://lastmomenttuitions.com/how-to-buy-notes/ Any doubt ask us and connect us at : you can connect us at Gmail:[email protected] you can email us :[email protected] Whatsapp contact:9762903078 facebook: https://www.facebook.com/lastmomenttu... more videos coming soon subscribe karke rakho tab tak
Views: 6086 Last moment tuitions
Data Mining Lecture - - Data Analytics life cycle (Eng-Hindi)
 
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Business Intelligence Big data issues are solved using data analytics life cycle The key roles of data analytics are explained -~-~~-~~~-~~-~- Please watch: "PL vs FOL | Artificial Intelligence | (Eng-Hindi) | #3" https://www.youtube.com/watch?v=GS3HKR6CV8E -~-~~-~~~-~~-~-
Views: 21397 Well Academy
The Best Way to Prepare a Dataset Easily
 
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In this video, I go over the 3 steps you need to prepare a dataset to be fed into a machine learning model. (selecting the data, processing it, and transforming it). The example I use is preparing a dataset of brain scans to classify whether or not someone is meditating. The challenge for this video is here: https://github.com/llSourcell/prepare_dataset_challenge Carl's winning code: https://github.com/av80r/coaster_racer_coding_challenge Rohan's runner-up code: https://github.com/rhnvrm/universe-coaster-racer-challenge Come join other Wizards in our Slack channel: http://wizards.herokuapp.com/ Dataset sources I talked about: https://github.com/caesar0301/awesome-public-datasets https://www.kaggle.com/datasets http://reddit.com/r/datasets More learning resources: https://docs.microsoft.com/en-us/azure/machine-learning/machine-learning-data-science-prepare-data http://machinelearningmastery.com/how-to-prepare-data-for-machine-learning/ https://www.youtube.com/watch?v=kSslGdST2Ms http://freecontent.manning.com/real-world-machine-learning-pre-processing-data-for-modeling/ http://docs.aws.amazon.com/machine-learning/latest/dg/step-1-download-edit-and-upload-data.html http://paginas.fe.up.pt/~ec/files_1112/week_03_Data_Preparation.pdf Please subscribe! And like. And comment. That's what keeps me going. And please support me on Patreon: https://www.patreon.com/user?u=3191693 Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/ Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w Hit the Join button above to sign up to become a member of my channel for access to exclusive content!
Views: 176629 Siraj Raval
Convert PDF to Text in Hadoop/BigData
 
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Process complex data type in Hadoop. Convert millions of PDF files into text file in Hadoop Ecosystem.
Views: 1387 Vijay Garg
Video tutorial for crowdsourcing PDF data mining in Crowdcrafting
 
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This video shows how you can import from Dropbox PDF files into Crowdcrafting, to crowdsource the analysis of the PDF documents with just a few clicks.
Import Data and Analyze with MATLAB
 
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Data are frequently available in text file format. This tutorial reviews how to import data, create trends and custom calculations, and then export the data in text file format from MATLAB. Source code is available from http://apmonitor.com/che263/uploads/Main/matlab_data_analysis.zip
Views: 379574 APMonitor.com
More Data Mining with Weka (1.6: Working with big data)
 
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More Data Mining with Weka: online course from the University of Waikato Class 1 - Lesson 6: Working with big data http://weka.waikato.ac.nz/ Slides (PDF): http://goo.gl/Le602g https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 10278 WekaMOOC
How to Build a Text Mining, Machine Learning Document Classification System in R!
 
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We show how to build a machine learning document classification system from scratch in less than 30 minutes using R. We use a text mining approach to identify the speaker of unmarked presidential campaign speeches. Applications in brand management, auditing, fraud detection, electronic medical records, and more.
Views: 164901 Timothy DAuria
Data Analysis with Python for Excel Users
 
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A common task for scientists and engineers is to analyze data from an external source. By importing the data into Python, data analysis such as statistics, trending, or calculations can be made to synthesize the information into relevant and actionable information. See http://apmonitor.com/che263/index.php/Main/PythonDataAnalysis
Views: 173988 APMonitor.com
Learn Data Science in 3 Months
 
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I've created a 3 month curriculum to help you go from absolute beginner to proficient in the art of data science! This open source curriculum consists of purely free resources that I’ve compiled from across the Web and has no prerequisites, you don’t even have to have coded before. I’ve designed it for anyone who wants to improve their skills and find paid work ASAP, ether through a full-time position or contract work. You’ll be learning a host of tools like SQL, Python, Hadoop, and even data storytelling, all of which make up the complete data science pipeline. Curriculum for this video: https://github.com/llSourcell/Learn_Data_Science_in_3_Months Please Subscribe! And like. And comment. That's what keeps me going. Want more education? Connect with me here: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology instagram: https://www.instagram.com/sirajraval Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ And please support me on Patreon: https://www.patreon.com/user?u=3191693 Week 1 - Learn Python - EdX https://www.edx.org/course/introduction-python-data-science-2 - Siraj Raval https://www.youtube.com/watch?v=T5pRlIbr6gg&list=PL2-dafEMk2A6QKz1mrk1uIGfHkC1zZ6UU Week 2 - Statistics & Probability - KhanAcademy https://www.khanacademy.org/math/statistics-probability Week 3 - Data Pre-processing, Data Vis, Exploratory Data Analysis - EdX https://www.edx.org/course/introduction-to-computing-for-data-analysis Week 4 - Kaggle Project #1 Week 5-6 - Algorithms & Machine Learning - Columbia https://courses.edx.org/courses/course-v1:ColumbiaX+DS102X+2T2018/course/ Week 7 - Deep Learning - Part 1 and 2 of DL Book https://www.deeplearningbook.org/ - Siraj Raval https://www.youtube.com/watch?v=vOppzHpvTiQ&list=PL2-dafEMk2A7YdKv4XfKpfbTH5z6rEEj3 Week 8 - Kaggle Project #2 Week 9 - Databases (SQL + NoSQL) - Udacity https://www.udacity.com/course/intro-to-relational-databases--ud197 - EdX https://www.edx.org/course/introduction-to-nosql-data-solutions-2 Week 10 - Hadoop & Map Reduce + Spark - Udacity https://www.udacity.com/course/intro-to-hadoop-and-mapreduce--ud617 - Spark Workshop https://stanford.edu/~rezab/sparkclass/slides/itas_workshop.pdf Week 11 - Data Storytelling - Edx https://www.edx.org/course/analytics-storytelling-impact-1 Week 12- Kaggle Project #3 Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w Hiring? Need a Job? See our job board!: www.theschool.ai/jobs/ Need help on a project? See our consulting group: www.theschool.ai/consulting-group/ Hit the Join button above to sign up to become a member of my channel for access to exclusive content!
Views: 242491 Siraj Raval
How Big Data Is Used In Amazon Recommendation Systems | Big Data Application & Example | Simplilearn
 
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This Big Data Video will help you understand how Amazon is using Big Data is ued in their recommendation syatems. You will understand the importance of Big Data using case study. Recommendation systems have impacted or even redefined our lives in many ways. One example of this impact is how our online shopping experience is being redefined. As we browse through products, the Recommendation system offer recommendations of products we might be interested in. Regardless of the perspectives, business or consumer, Recommendation systems have been immensely beneficial. And big data is the driving force behind Recommendation systems. Subscribe to Simplilearn channel for more Big Data and Hadoop Tutorials - https://www.youtube.com/user/Simplilearn?sub_confirmation=1 Check our Big Data Training Video Playlist: https://www.youtube.com/playlist?list=PLEiEAq2VkUUJqp1k-g5W1mo37urJQOdCZ Big Data and Analytics Articles - https://www.simplilearn.com/resources/big-data-and-analytics?utm_campaign=Amazon-BigData-S4RL6prqtGQ&utm_medium=Tutorials&utm_source=youtube To gain in-depth knowledge of Big Data and Hadoop, check our Big Data Hadoop and Spark Developer Certification Training Course: http://www.simplilearn.com/big-data-and-analytics/big-data-and-hadoop-training?utm_campaign=Amazon-BigData-S4RL6prqtGQ&utm_medium=Tutorials&utm_source=youtube #bigdata #bigdatatutorialforbeginners #bigdataanalytics #bigdatahadooptutorialforbeginners #bigdatacertification #HadoopTutorial - - - - - - - - - About Simplilearn's Big Data and Hadoop Certification Training Course: The Big Data Hadoop and Spark developer course have been designed to impart an in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed with real-life projects and case studies to be executed in the CloudLab. Mastering real-time data processing using Spark: You will learn to do functional programming in Spark, implement Spark applications, understand parallel processing in Spark, and use Spark RDD optimization techniques. You will also learn the various interactive algorithm in Spark and use Spark SQL for creating, transforming, and querying data form. As a part of the course, you will be required to execute real-life industry-based projects using CloudLab. The projects included are in the domains of Banking, Telecommunication, Social media, Insurance, and E-commerce. This Big Data course also prepares you for the Cloudera CCA175 certification. - - - - - - - - What are the course objectives of this Big Data and Hadoop Certification Training Course? This course will enable you to: 1. Understand the different components of Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark 2. Understand Hadoop Distributed File System (HDFS) and YARN as well as their architecture, and learn how to work with them for storage and resource management 3. Understand MapReduce and its characteristics, and assimilate some advanced MapReduce concepts 4. Get an overview of Sqoop and Flume and describe how to ingest data using them 5. Create database and tables in Hive and Impala, understand HBase, and use Hive and Impala for partitioning 6. Understand different types of file formats, Avro Schema, using Arvo with Hive, and Sqoop and Schema evolution 7. Understand Flume, Flume architecture, sources, flume sinks, channels, and flume configurations 8. Understand HBase, its architecture, data storage, and working with HBase. You will also understand the difference between HBase and RDBMS 9. Gain a working knowledge of Pig and its components 10. Do functional programming in Spark 11. Understand resilient distribution datasets (RDD) in detail 12. Implement and build Spark applications 13. Gain an in-depth understanding of parallel processing in Spark and Spark RDD optimization techniques 14. Understand the common use-cases of Spark and the various interactive algorithms 15. Learn Spark SQL, creating, transforming, and querying Data frames - - - - - - - - - - - Who should take up this Big Data and Hadoop Certification Training Course? Big Data career opportunities are on the rise, and Hadoop is quickly becoming a must-know technology for the following professionals: 1. Software Developers and Architects 2. Analytics Professionals 3. Senior IT professionals 4. Testing and Mainframe professionals 5. Data Management Professionals 6. Business Intelligence Professionals 7. Project Managers 8. Aspiring Data Scientists - - - - - - - - For more updates on courses and tips follow us on: - Facebook : https://www.facebook.com/Simplilearn - Twitter: https://twitter.com/simplilearn - LinkedIn: https://www.linkedin.com/company/simplilearn - Website: https://www.simplilearn.com Get the android app: http://bit.ly/1WlVo4u Get the iOS app: http://apple.co/1HIO5J0
Views: 29830 Simplilearn
Introduction to Datawarehouse in hindi | Data warehouse and data mining Lectures
 
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#datawarehouse #datamining #lastmomenttuitions Take the Full Course of Datawarehouse What we Provide 1)22 Videos (Index is given down) + Update will be Coming Before final exams 2)Hand made Notes with problems for your to practice 3)Strategy to Score Good Marks in DWM To buy the course click here: https://lastmomenttuitions.com/course/data-warehouse/ Buy the Notes https://lastmomenttuitions.com/course/data-warehouse-and-data-mining-notes/ if you have any query email us at [email protected] Index Introduction to Datawarehouse Meta data in 5 mins Datamart in datawarehouse Architecture of datawarehouse how to draw star schema slowflake schema and fact constelation what is Olap operation OLAP vs OLTP decision tree with solved example K mean clustering algorithm Introduction to data mining and architecture Naive bayes classifier Apriori Algorithm Agglomerative clustering algorithmn KDD in data mining ETL process FP TREE Algorithm Decision tree
Views: 285365 Last moment tuitions
PDF Data Scraping
 
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Automated web scraping services provide fast data acquirement in structured format. No matter if used for big data, data mining, artificial intelligence, machine learning or business intelligence applications. The scraped data come from various sources and forms. It can be websites, various databases, XML feeds and CSV, TXT or XLS file formats for example. Billions of PDF files stored online form a huge data library worth scraping. Have you ever tried to get any data from various PDF files? Then you know how panful it is. We have created an algorithm that allows you to extract data in an easily readable structured way. With PDFix we can recognize all logical structures and we can give you a hierarchical structure of document elements in a correct reading order. With the PDFix SDK we believe your web crawler can be programmed to access the PDF files and: - Search Text inside PDFs – you can find and extract specific information - Detect and Export Tables - Extract Annotations - Detect and Extract Related Images - Use Regular Expression, Pattern Matching - Detect and Scrape information from Charts Structured format You will need the scraped data from PDFs in various formats. With the PDFix you will get a structured output in: - CSV - HTML - XML - JSON
Views: 429 Team PDFix
R Tutorial For Beginners | R Programming Tutorial l R Language For Beginners | R Training | Edureka
 
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( R Training : https://www.edureka.co/r-for-analytics ) This Edureka R Tutorial (R Tutorial Blog: https://goo.gl/mia382) will help you in understanding the fundamentals of R tool and help you build a strong foundation in R. Below are the topics covered in this tutorial: 1. Why do we need Analytics ? 2. What is Business Analytics ? 3. Why R ? 4. Variables in R 5. Data Operator 6. Data Types 7. Flow Control 8. Plotting a graph in R Check out our R Playlist: https://goo.gl/huUh7Y Subscribe to our channel to get video updates. Hit the subscribe button above. #R #Rtutorial #Ronlinetraining #Rforbeginners #Rprogramming How it Works? 1. This is a 5 Week Instructor led Online Course, 30 hours of assignment and 20 hours of project work 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training you will be working on a real time project for which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - - - - About the Course edureka's Data Analytics with R training course is specially designed to provide the requisite knowledge and skills to become a successful analytics professional. It covers concepts of Data Manipulation, Exploratory Data Analysis, etc before moving over to advanced topics like the Ensemble of Decision trees, Collaborative filtering, etc. During our Data Analytics with R Certification training, our instructors will help you: 1. Understand concepts around Business Intelligence and Business Analytics 2. Explore Recommendation Systems with functions like Association Rule Mining , user-based collaborative filtering and Item-based collaborative filtering among others 3. Apply various supervised machine learning techniques 4. Perform Analysis of Variance (ANOVA) 5. Learn where to use algorithms - Decision Trees, Logistic Regression, Support Vector Machines, Ensemble Techniques etc 6. Use various packages in R to create fancy plots 7. Work on a real-life project, implementing supervised and unsupervised machine learning techniques to derive business insights - - - - - - - - - - - - - - - - - - - Who should go for this course? This course is meant for all those students and professionals who are interested in working in analytics industry and are keen to enhance their technical skills with exposure to cutting-edge practices. This is a great course for all those who are ambitious to become 'Data Analysts' in near future. This is a must learn course for professionals from Mathematics, Statistics or Economics background and interested in learning Business Analytics. - - - - - - - - - - - - - - - - Why learn Data Analytics with R? The Data Analytics with R training certifies you in mastering the most popular Analytics tool. "R" wins on Statistical Capability, Graphical capability, Cost, rich set of packages and is the most preferred tool for Data Scientists. Below is a blog that will help you understand the significance of R and Data Science: Mastering R Is The First Step For A Top-Class Data Science Career Having Data Science skills is a highly preferred learning path after the Data Analytics with R training. Check out the upgraded Data Science Course For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free). Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka
Views: 473960 edureka!
What is data science In telugu  - డేటా సైన్స్ అంటే ఏమిటి -9059868766 Artificial intelligence AI Demo
 
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data science training python videos, datacamp data science python, intro to python for data science course by datacamp, python data science course, python data science tutorial, python for data science book, python for data science pdf, python training videos, youtube python data science, What is data science In telugu - డేటా సైన్స్ అంటే ఏమిటి Download data science content Pdf https://goo.gl/JN6iGs http://www.sivaitsoft.com/data-science-online-training-kukatpally/ What is data science course? What is a data scientist? Who coined data science? What is big data analysis? Data Science course content vlrtraining 9059868766 Hyderabad https://goo.gl/JN6iGs DATA SCIENCE ONLINE TRAINING Data Science Online Training kukatpally Hyderabad provided by VLR Trainings. Data Science is that the study ofDATA SCIENCE Online training wherever data comes from, what it represents and the way it is became a valuable resource in the creation of business and IT ways. More info Wikipedia DATA SCIENTIST A data scientist is someone who is better at statistics than any software engineer and better at Software engineering than any statistician.” WHAT A DATA SCIENTIST DOES Most data scientists in the industry have advanced degrees and training in statistics, math, and computer science. Their experience is a vast horizon that also extends to data visualization, data mining, and information management. It is fairly common for them to have previous experience in infrastructure design, cloud computing, and data warehousing. SKILLS REQUIRED TO BECOME A DATA SCIENTIST Statistic and probability Algorithms Programming Languages (Java, Scala ,SQL, R, Phyton) Data mining Machine learning Who should go for this course? Fresher’s/Graduates Job Seekers Managers Data analysts Business analysts Operators End users Developers IT professionals Data science Course Duration and details Course Duration 90Days (3 months) Course Fees 27000Rs Only online training Note* Everyday session recordings are also available Venkat: 9059868766 Jio:7013158918 Email: [email protected] Address: Vlrtraining/Sivaitsoft PlotNo 126/b,2nd floor,Street Number 4, Addagutta Society, Jal Vayu Vihar,, Kukatpally, Hyderabad, Telangana 500085 Map Link https://goo.gl/maps/Nk9LziFjVXS2 Data science Course Content data science, data science and analytics, data science certification, data science course, data science degree, data science online, data science pdf,, data science skills, data science syllabus, data science tools, data scientist profile, data scientist skills, introduction to data science, learn data science, mathematics for data science, python data science, science data, scientific database, Download Pdf Data Science course content vlrtraining 9059868766 Hyderabad http://www.sivaitsoft.com/wp-content/uploads/2017/10/Data-Science-course-content-vlrtraining-9059868766-Hyderabad.pdf
Views: 23718 VLR Training
The beauty of data visualization - David McCandless
 
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View full lesson: http://ed.ted.com/lessons/david-mccandless-the-beauty-of-data-visualization David McCandless turns complex data sets, like worldwide military spending, media buzz, and Facebook status updates, into beautiful, simple diagrams that tease out unseen patterns and connections. Good design, he suggests, is the best way to navigate information glut -- and it may just change the way we see the world. Talk by David McCandless.
Views: 587886 TED-Ed
Data Mining using R | R Tutorial for Beginners | Data Mining Tutorial for Beginners 2018 | ExcleR
 
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Data Mining Using R (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information. Data Mining Certification Training Course Content : https://www.excelr.com/data-mining/ Introduction to Data Mining Tutorials : https://youtu.be/uNrg8ep_sEI What is Data Mining? Big data!!! Are you demotivated when your peers are discussing about data science and recent advances in big data. Did you ever think how Flip kart and Amazon are suggesting products for their customers? Do you know how financial institutions/retailers are using big data to transform themselves in to next generation enterprises? Do you want to be part of the world class next generation organisations to change the game rules of the strategy making and to zoom your career to newer heights? Here is the power of data science in the form of Data mining concepts which are considered most powerful techniques in big data analytics. Data Mining with R unveils underlying amazing patterns, wonderful insights which go unnoticed otherwise, from the large amounts of data. Data mining tools predict behaviours and future trends, allowing businesses to make proactive, unbiased and scientific-driven decisions. Data mining has powerful tools and techniques that answer business questions in a scientific manner, which traditional methods cannot answer. Adoption of data mining concepts in decision making changed the companies, the way they operate the business and improved revenues significantly. Companies in a wide range of industries such as Information Technology, Retail, Telecommunication, Oil and Gas, Finance, Health care are already using data mining tools and techniques to take advantage of historical data and to create their future business strategies. Data mining can be broadly categorized into two branches i.e. supervised learning and unsupervised learning. Unsupervised learning deals with identifying significant facts, relationships, hidden patterns, trends and anomalies. Clustering, Principle Component Analysis, Association Rules, etc., are considered unsupervised learning. Supervised learning deals with prediction and classification of the data with machine learning algorithms. Weka is most popular tool for supervised learning. Topics You Will Learn… Unsupervised learning: Introduction to datamining Dimension reduction techniques Principal Component Analysis (PCA) Singular Value Decomposition (SVD) Association rules / Market Basket Analysis / Affinity Filtering Recommender Systems / Recommendation Engine / Collaborative Filtering Network Analytics – Degree centrality, Closeness Centrality, Betweenness Centrality, etc. Cluster Analysis Hierarchical clustering K-means clustering Supervised learning: Overview of machine learning / supervised learning Data exploration methods Basic classification algorithms Decision trees classifier Random Forest K-Nearest Neighbours Bayesian classifiers: Naïve Bayes and other discriminant classifiers Perceptron and Logistic regression Neural networks Advanced classification algorithms Bayesian Networks Support Vector machines Model validation and interpretation Multi class classification problem Bagging (Random Forest) and Boosting (Gradient Boosted Decision Trees) Regression analysis Tools You Will Learn… R: R is a programming language to carry out complex statistical computations and data visualization. R is also open source software and backed by large community all over the world who are contributing to enhancing the capability. R has many advantages over other tools available in the market and it has been rated No.1 among the data scientist community. Mode of Trainings : E-Learning Online Training ClassRoom Training --------------------------------------------------------------------------- For More Info Contact :: Toll Free (IND) : 1800 212 2120 | +91 80080 09704 Malaysia: 60 11 3799 1378 USA: 001-608-218-3798 UK: 0044 203 514 6638 AUS: 006 128 520-3240 Email: [email protected] Web: www.excelr.com
Big Data Opportunity: Structured vs. Unstructured Data
 
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http://www.patrickschwerdtfeger.com/sbi/ Where's the opportunity in Big Data? Is it with structured data or unstructured data? Experts estimate that over 95% of the data in the world today is unstructured and only 5% is structured, so there's definitely a lot MORE unstructured data to be mined. The case histories so far suggest that the biggest opportunities lie in the messy unstructured data; the data the INCLUDES the outliers rather than marginalize them. The outliers add the most interesting insights to the process and allow the algorithms to calculate probabilities using the entire sample size, rather than relying on sampling inferences based on a small subset of the population. So research your unstructured data. Look at all those machine logs and metadata and see what insights you might be able to glean. Those are the building blocks for predictive analytics and algorithms that value.
Views: 16225 Patrick Schwerdtfeger
TLP / WA +62 813 – 8143 – 2012 , Big data machine learning for disruption predictions
 
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SARANA TERBAIK UNTUK UNTUK MEMPERMUDAH ANDA DALAM BERBISNIS !!!! Big data machine learning words, Big data machine learning solution, Big data machine learning tecniques, Big data machine learning training , Big data machine learning finance, Big data machine learning hadoop , Big data machine learning health care, Big data machine learning for disruption predictions, Big data machine learning finance , Big data machine learning ebook , Big data machine learning examples, Big data machine learning econometrics , Big data machine learning data mining , Big data machine learning data science, Big data machine learning definition , Big data machine learning difference, Big data machine learning diagram, Big data analytics mechine learning , Big data internasional, Big data Indonesia, Big data menurut para ahli , Big data technology , Big data machine learning cloud computing, Big data machine learning Colombia , Big data machine learning classification , Big data machine learning certification , Big data machine learning course, Big data machine learning consulting , Big data machine learning conference , Big data machine learning based secure health framework , Big data machine learning bussines intelligence , Big data machine learning and ai inportfolio management , Big data machine learning and graph analytics current state and future challenges , Big data machine learning and clinical medicine , Big data machine learning and the social sciences , Big data machine learning analytics , Big data machine learning datasets , Big data machine learning companies , Big data machine learning companies , Big data machine learning application , Big data machine learning python , Big data machine learning ppt , Big data machine learning architecture , Big data machine learning artifical intelligence , Big data machine learning ai , Big data machine learning tutorial , Big data machine learning pdf , Big data machine learning algorithmis , Big data menurut marr , Big data analysis pdf , Big data akuntasi , Big data pdf . “ BIG DATA DAN MACHINE LEARNING , SARANA TERBAIK UNTUK ANDA PARA PEMBISNIS , , ISI MATERI TERLENGKAP DAN MEMPERMUDAH ANDA DALAM HAL PEKERJAAN . “ Ingin perusahaan anda, bisnis anda, pekarjaan anda sukses sesuai yang anda inginkan , kini dizaman serba digital BIG DATA dan MACHINE LEARNING akan mempermudah anda dalam hal berbisninis. Selain itu, BIG DATA dan MACHINE LEARNING bermanfaat untuk anda para pembisnis sebagai : Memahami dan Menargetkan Pelanggan , Memahami dan Mengoptimalkan Proses Bisnis , Kuantifikasi Pribadi dan Optimalisasi Kinerja , Meningkatkan Kesehatan , Meningkatkan Performa Olahraga ,Meningkatkan Sains dan Penelitian , Mengoptimalkan Kinerja Mesin dan Alat Perangkat , Meningkatkan Keamanan dan Penegakan Hukum , Meningkatkan dan Mengoptimalkan Kota dan Negara , Perdagangan Keuangan . Jika anda atau para pembisnis ingin tahu lebih banyak tentang BIG DATA dan MACHINE LEARNING Info Selanjutnya bisa Hubungi kami : PT. Brilyan Trimatra Utama Jl.Dahlia Raya Blok E 12 Kota Bekasi Phone : (+62) 21 - 820 - 6565 Email: [email protected] TLP / WA : (+62) 813 – 8143 – 2012 Email : [email protected]
Medical Informatics Knowledge Management and Data Mining in Biomedicine Pdf
 
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Medical Informatics Knowledge Management and Data Mining in Biomedicine by Hsinchun Chen Pdf. Get Yours Now On http://medibookbank.com/search
Views: 13 Bertiza
TLP / WA +62 813 – 8143 – 2012 ,   Big data analytics mechine learning
 
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SARANA TERBAIK UNTUK UNTUK MEMPERMUDAH ANDA DALAM BERBISNIS !!!! Big data machine learning words, Big data machine learning solution, Big data machine learning tecniques, Big data machine learning training , Big data machine learning finance, Big data machine learning hadoop , Big data machine learning health care, Big data machine learning for disruption predictions, Big data machine learning finance , Big data machine learning ebook , Big data machine learning examples, Big data machine learning econometrics , Big data machine learning data mining , Big data machine learning data science, Big data machine learning definition , Big data machine learning difference, Big data machine learning diagram, Big data analytics mechine learning , Big data internasional, Big data Indonesia, Big data menurut para ahli , Big data technology , Big data machine learning cloud computing, Big data machine learning Colombia , Big data machine learning classification , Big data machine learning certification , Big data machine learning course, Big data machine learning consulting , Big data machine learning conference , Big data machine learning based secure health framework , Big data machine learning bussines intelligence , Big data machine learning and ai inportfolio management , Big data machine learning and graph analytics current state and future challenges , Big data machine learning and clinical medicine , Big data machine learning and the social sciences , Big data machine learning analytics , Big data machine learning datasets , Big data machine learning companies , Big data machine learning companies , Big data machine learning application , Big data machine learning python , Big data machine learning ppt , Big data machine learning architecture , Big data machine learning artifical intelligence , Big data machine learning ai , Big data machine learning tutorial , Big data machine learning pdf , Big data machine learning algorithmis , Big data menurut marr , Big data analysis pdf , Big data akuntasi , Big data pdf . “ BIG DATA DAN MACHINE LEARNING , SARANA TERBAIK UNTUK ANDA PARA PEMBISNIS , , ISI MATERI TERLENGKAP DAN MEMPERMUDAH ANDA DALAM HAL PEKERJAAN . “ Ingin perusahaan anda, bisnis anda, pekarjaan anda sukses sesuai yang anda inginkan , kini dizaman serba digital BIG DATA dan MACHINE LEARNING akan mempermudah anda dalam hal berbisninis. Selain itu, BIG DATA dan MACHINE LEARNING bermanfaat untuk anda para pembisnis sebagai : Memahami dan Menargetkan Pelanggan , Memahami dan Mengoptimalkan Proses Bisnis , Kuantifikasi Pribadi dan Optimalisasi Kinerja , Meningkatkan Kesehatan , Meningkatkan Performa Olahraga ,Meningkatkan Sains dan Penelitian , Mengoptimalkan Kinerja Mesin dan Alat Perangkat , Meningkatkan Keamanan dan Penegakan Hukum , Meningkatkan dan Mengoptimalkan Kota dan Negara , Perdagangan Keuangan . Jika anda atau para pembisnis ingin tahu lebih banyak tentang BIG DATA dan MACHINE LEARNING LEARNING . Info Selanjutnya bisa Hubungi kami : PT. Brilyan Trimatra Utama Jl.Dahlia Raya Blok E 12 Kota Bekasi Phone : (+62) 21 - 820 - 6565 Email: [email protected] TLP / WA : (+62) 813 – 8143 – 2012 Email : [email protected]
STRUCTURED and UNSTRUCTURED DATA analysis and management methods in big data database with examples
 
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In this video we wil learn about structured data and unstructured data. Furthur more we will learn unstructured data,structured and unstructured data,unstructured data analysis,unstructured data management,structured unstructured data,unstructured data analysis methods,unstructured database,structured data and unstructured data,big data structured and unstructured,structured and unstructured data examples,structured and unstructured data in big data,big data unstructured,structured semi structured and unstructured data,unstructured data database. -~-~~-~~~-~~-~- Please watch: "Best Quotation Websites" https://www.youtube.com/watch?v=5UzYlULfLSQ -~-~~-~~~-~~-~-
INTRODUCTION TO DATA MINING IN HINDI
 
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Buy Software engineering books(affiliate): Software Engineering: A Practitioner's Approach by McGraw Hill Education https://amzn.to/2whY4Ke Software Engineering: A Practitioner's Approach by McGraw Hill Education https://amzn.to/2wfEONg Software Engineering: A Practitioner's Approach (India) by McGraw-Hill Higher Education https://amzn.to/2PHiLqY Software Engineering by Pearson Education https://amzn.to/2wi2v7T Software Engineering: Principles and Practices by Oxford https://amzn.to/2PHiUL2 ------------------------------- find relevant notes at-https://viden.io/
Views: 111301 LearnEveryone
Concept Drift Detector in Data Stream Mining
 
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Jorge Casillas, Shuo Wang, Xin Yao, Concept Drift Detection in Histogram-Based Straightforward Data Stream Classification, 6th International Workshop on Data Science and Big Data Analytics, IEEE International Conference on Data Mining, November 17-20, 2018 - Singapore http://decsai.ugr.es/~casillas/downloads/papers/casillas-ci44-icdm18.pdf This presentation shows a novel algorithm to accurately detect changes in non-stationary data streams in a very efficiently way. If you want to know how the yacare caiman, the cheetah and the racer snake are related to this research, do not stop watching the video! More videos here: http://decsai.ugr.es/~casillas/videos.html
Views: 145 Jorge Casillas
Text Mining in R Tutorial: Term Frequency & Word Clouds
 
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This tutorial will show you how to analyze text data in R. Visit https://deltadna.com/blog/text-mining-in-r-for-term-frequency/ for free downloadable sample data to use with this tutorial. Please note that the data source has now changed from 'demo-co.deltacrunch' to 'demo-account.demo-game' Text analysis is the hot new trend in analytics, and with good reason! Text is a huge, mainly untapped source of data, and with Wikipedia alone estimated to contain 2.6 billion English words, there's plenty to analyze. Performing a text analysis will allow you to find out what people are saying about your game in their own words, but in a quantifiable manner. In this tutorial, you will learn how to analyze text data in R, and it give you the tools to do a bespoke analysis on your own.
Views: 67007 deltaDNA
Lecture 6 - Trend Detection In Twitter Social Data (Analyzing Big Data With Twitter)
 
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http://blogs.ischool.berkeley.edu/i290-abdt-s12/ Lecture 6: Kostas Tsioutsiouliklis on Twitter Trends and how to compute them Lecture notes: http://blogs.ischool.berkeley.edu/i290-abdt-s12/files/2012/08/Kostas_Trends_Sept_13_2012.pdf Course: Information 290. Analyzing Big Data with Twitter School of Information UC Berkeley Prof. Marti Hearst Course description: How to store, process, analyze and make sense of Big Data is of increasing interest and importance to technology companies, a wide range of industries, and academic institutions. In this course, UC Berkeley professors and Twitter engineers will lecture on the most cutting-edge algorithms and software tools for data analytics as applied to Twitter microblog data. Topics will include applied natural language processing algorithms such as sentiment analysis, large scale anomaly detection, real-time search, information diffusion and outbreak detection, trend detection in social streams, recommendation algorithms, and advanced frameworks for distributed computing. Social science perspectives on analyzing social media will also be covered. This is a hands-on project course in which students are expected to form teams to complete intensive programming and analytics projects using the real-world example of Twitter data and code bases. Engineers from Twitter will help advise student projects, and students will have the option of presenting their final project presentations to an audience of engineers at the headquarters of Twitter in San Francisco (in addition to on campus). Project topics include building on existing infrastructure tools, building Twitter apps, and analyzing Twitter data. Access to data will be provided.
Artificial Neural Network Tutorial | Deep Learning With Neural Networks | Edureka
 
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( TensorFlow Training - https://www.edureka.co/ai-deep-learning-with-tensorflow ) This Edureka "Neural Network Tutorial" video (Blog: https://goo.gl/4zxMfU) will help you to understand the basics of Neural Networks and how to use it for deep learning. It explains Single layer and Multi layer Perceptron in detail. Below are the topics covered in this tutorial: 1. Why Neural Networks? 2. Motivation Behind Neural Networks 3. What is Neural Network? 4. Single Layer Percpetron 5. Multi Layer Perceptron 6. Use-Case 7. Applications of Neural Networks Subscribe to our channel to get video updates. Hit the subscribe button above. Check our complete Deep Learning With TensorFlow playlist here: https://goo.gl/cck4hE - - - - - - - - - - - - - - How it Works? 1. This is 21 hrs of Online Live Instructor-led course. Weekend class: 7 sessions of 3 hours each. 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - About the Course Edureka's Deep learning with Tensorflow course will help you to learn the basic concepts of TensorFlow, the main functions, operations and the execution pipeline. Starting with a simple “Hello Word” example, throughout the course you will be able to see how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. This concept is then explored in the Deep Learning world. You will evaluate the common, and not so common, deep neural networks and see how these can be exploited in the real world with complex raw data using TensorFlow. In addition, you will learn how to apply TensorFlow for backpropagation to tune the weights and biases while the Neural Networks are being trained. Finally, the course covers different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks and Autoencoders. Delve into neural networks, implement Deep Learning algorithms, and explore layers of data abstraction with the help of this Deep Learning with TensorFlow course. - - - - - - - - - - - - - - Who should go for this course? The following professionals can go for this course: 1. Developers aspiring to be a 'Data Scientist' 2. Analytics Managers who are leading a team of analysts 3. Business Analysts who want to understand Deep Learning (ML) Techniques 4. Information Architects who want to gain expertise in Predictive Analytics 5. Professionals who want to captivate and analyze Big Data 6. Analysts wanting to understand Data Science methodologies However, Deep learning is not just focused to one particular industry or skill set, it can be used by anyone to enhance their portfolio. - - - - - - - - - - - - - - Why Learn Deep Learning With TensorFlow? TensorFlow is one of the best libraries to implement Deep Learning. TensorFlow is a software library for numerical computation of mathematical expressions, using data flow graphs. Nodes in the graph represent mathematical operations, while the edges represent the multidimensional data arrays (tensors) that flow between them. It was created by Google and tailored for Machine Learning. In fact, it is being widely used to develop solutions with Deep Learning. Machine learning is one of the fastest-growing and most exciting fields out there, and Deep Learning represents its true bleeding edge. Deep learning is primarily a study of multi-layered neural networks, spanning over a vast range of model architectures. Traditional neural networks relied on shallow nets, composed of one input, one hidden layer and one output layer. Deep-learning networks are distinguished from these ordinary neural networks having more hidden layers, or so-called more depth. These kinds of nets are capable of discovering hidden structures within unlabeled and unstructured data (i.e. images, sound, and text), which constitutes the vast majority of data in the world. For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free). Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka
Views: 70588 edureka!
Interview with a Data Scientist
 
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This video is part of the Udacity course "Intro to Programming". Watch the full course at https://www.udacity.com/course/ud000
Views: 297600 Udacity
Harness Oil and Gas Big  Keith Holdaway PDF
 
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Download : http://bit.ly/1ocKOwb Harness Oil and Gas Big Data with Analytics: Optimize Exploration and Production with Data Driven Models (Wiley and SAS Business Series) by Keith Holdaway pdf Description Harness Oil and Gas Big Data with Analytics provides a complete view of big data and analytics techniques as they are applied to the oil and gas industry. Including a compendium of specific case studies, the book underscores the acute need for optimization in the oil and gas exploration and production stages and shows how data analytics can provide such optimization. This spans exploration, development, production and rejuvenation of oil and gas assets. The book serves as a guide for fully leveraging data, statistical, and quantitative analysis, exploratory and predictive modeling, and fact-based management to drive decision making in oil and gas operations. This comprehensive resource delves into the three major issues that face the oil and gas industry during the exploration and production stages
Views: 278 Lori Gonzales
Text analytics extract key phrases using Power BI and Microsoft Cognitive Services
 
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Download the PDF to keep as reference http://theexcelclub.com/extract-key-phrases-from-text/ FREE Power BI course - Power BI - The Ultimate Orientation http://theexcelclub.com/free-excel-training/ Or on Udemy https://www.udemy.com/power-bi-the-ultimate-orientation Or on Android App https://play.google.com/store/apps/details?id=com.PBI.trainigapp Carry out a text analytics like the big brand...only for free with Power BI and Microsoft Cognitive Services. this video will cover Obtain a Text Analytics API Key from Microsoft Cognitive Services Power BI – Setting up the Text Data Setting up the Parameter in Power BI Setting up the Custom function Query(with code to copy) Grouping the text Running the Key Phrase Extraction by calling the custom function. Extracting the key phrases from the returned Json file. Sign up to our newsletter http://theexcelclub.com/newsletter/ Watch more Power BI videos https://www.youtube.com/playlist?list=PLJ35EHVzCuiEsQ-68y0tdnaU9hCqjJ5Dh Watch Excel Videos https://www.youtube.com/playlist?list=PLJ35EHVzCuiFFpjWeK7CE3AEXy_IRZp4y Join the online Excel and PowerBI community https://plus.google.com/u/0/communities/110804786414261269900
Views: 4760 Paula Guilfoyle
Data Mining  Association Rule - Basic Concepts
 
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short introduction on Association Rule with definition & Example, are explained. Association rules are if/then statements used to find relationship between unrelated data in information repository or relational database. Parts of Association rule is explained with 2 measurements support and confidence. types of association rule such as single dimensional Association Rule,Multi dimensional Association rules and Hybrid Association rules are explained with Examples. Names of Association rule algorithm and fields where association rule is used is also mentioned.
Data Mining Lecture -- Bayesian Classification | Naive Bayes Classifier | Solved Example (Eng-Hindi)
 
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In the bayesian classification The final ans doesn't matter in the calculation Because there is no need of value for the decision you have to simply identify which one is greater and therefore you can find the final result. -~-~~-~~~-~~-~- Please watch: "PL vs FOL | Artificial Intelligence | (Eng-Hindi) | #3" https://www.youtube.com/watch?v=GS3HKR6CV8E -~-~~-~~~-~~-~-
Views: 166926 Well Academy
TLP / WA +62 813 – 8143 – 2012 , machine learning linear regression
 
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SARANA TERBAIK UNTUK UNTUK MEMPERMUDAH ANDA DALAM BERBISNIS !!!! Big data machine learning words, Big data machine learning solution, Big data machine learning tecniques, Big data machine learning training , Big data machine learning finance, Big data machine learning hadoop , Big data machine learning health care, Big data machine learning for disruption predictions, Big data machine learning finance , Big data machine learning ebook , Big data machine learning examples, Big data machine learning econometrics , Big data machine learning data mining , Big data machine learning data science, Big data machine learning definition , Big data machine learning difference, Big data machine learning diagram, Big data analytics mechine learning , Big data internasional, Big data Indonesia, Big data menurut para ahli , Big data technology , Big data machine learning cloud computing, Big data machine learning Colombia , Big data machine learning classification , Big data machine learning certification , Big data machine learning course, Big data machine learning consulting , Big data machine learning conference , Big data machine learning based secure health framework , Big data machine learning bussines intelligence , Big data machine learning and ai inportfolio management , Big data machine learning and graph analytics current state and future challenges , Big data machine learning and clinical medicine , Big data machine learning and the social sciences , Big data machine learning analytics , Big data machine learning datasets , Big data machine learning companies , Big data machine learning companies , Big data machine learning application , Big data machine learning python , Big data machine learning ppt , Big data machine learning architecture , Big data machine learning artifical intelligence , Big data machine learning ai , Big data machine learning tutorial , Big data machine learning pdf , Big data machine learning algorithmis , Big data menurut marr , Big data analysis pdf , Big data akuntasi , Big data pdf , Big data center cyber security, machine learning linear regression. “ BIG DATA DAN MACHINE LEARNING , SARANA TERBAIK UNTUK ANDA PARA PEMBISNIS , , ISI MATERI TERLENGKAP DAN MEMPERMUDAH ANDA DALAM HAL PEKERJAAN . “ Ingin perusahaan anda, bisnis anda, pekarjaan anda sukses sesuai yang anda inginkan , kini dizaman serba digital BIG DATA dan MACHINE LEARNING akan mempermudah anda dalam hal berbisninis. Selain itu, BIG DATA dan MACHINE LEARNING bermanfaat untuk anda para pembisnis sebagai : Memahami dan Menargetkan Pelanggan , Memahami dan Mengoptimalkan Proses Bisnis , Kuantifikasi Pribadi dan Optimalisasi Kinerja , Meningkatkan Kesehatan , Meningkatkan Performa Olahraga ,Meningkatkan Sains dan Penelitian , Mengoptimalkan Kinerja Mesin dan Alat Perangkat , Meningkatkan Keamanan dan Penegakan Hukum , Meningkatkan dan Mengoptimalkan Kota dan Negara , Perdagangan Keuangan . Jika anda atau para pembisnis ingin tahu lebih banyak tentang BIG DATA dan MACHINE LEARNING LEARNING . Info Selanjutnya bisa Hubungi kami : PT. Brilyan Trimatra Utama Jl.Dahlia Raya Blok E 12 Kota Bekasi Phone : (+62) 21 - 820 - 6565 Email: [email protected] TLP / WA : (+62) 813 – 8143 – 2012 Email : [email protected]
K mean clustering algorithm with solve example
 
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#kmean datawarehouse #datamining #lastmomenttuitions Take the Full Course of Datawarehouse What we Provide 1)22 Videos (Index is given down) + Update will be Coming Before final exams 2)Hand made Notes with problems for your to practice 3)Strategy to Score Good Marks in DWM To buy the course click here: https://lastmomenttuitions.com/course/data-warehouse/ Buy the Notes https://lastmomenttuitions.com/course/data-warehouse-and-data-mining-notes/ if you have any query email us at [email protected] Index Introduction to Datawarehouse Meta data in 5 mins Datamart in datawarehouse Architecture of datawarehouse how to draw star schema slowflake schema and fact constelation what is Olap operation OLAP vs OLTP decision tree with solved example K mean clustering algorithm Introduction to data mining and architecture Naive bayes classifier Apriori Algorithm Agglomerative clustering algorithmn KDD in data mining ETL process FP TREE Algorithm Decision tree
Views: 356022 Last moment tuitions
TLP / WA +62 813 – 8143 – 2012 , Big data machine learning data mining
 
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SARANA TERBAIK UNTUK UNTUK MEMPERMUDAH ANDA DALAM BERBISNIS !!!! Big data machine learning words, Big data machine learning solution, Big data machine learning tecniques, Big data machine learning training , Big data machine learning finance, Big data machine learning hadoop , Big data machine learning health care, Big data machine learning for disruption predictions, Big data machine learning finance , Big data machine learning ebook , Big data machine learning examples, Big data machine learning econometrics , Big data machine learning data mining , Big data machine learning data science, Big data machine learning definition , Big data machine learning difference, Big data machine learning diagram, Big data analytics mechine learning , Big data internasional, Big data Indonesia, Big data menurut para ahli , Big data technology , Big data machine learning cloud computing, Big data machine learning Colombia , Big data machine learning classification , Big data machine learning certification , Big data machine learning course, Big data machine learning consulting , Big data machine learning conference , Big data machine learning based secure health framework , Big data machine learning bussines intelligence , Big data machine learning and ai inportfolio management , Big data machine learning and graph analytics current state and future challenges , Big data machine learning and clinical medicine , Big data machine learning and the social sciences , Big data machine learning analytics , Big data machine learning datasets , Big data machine learning companies , Big data machine learning companies , Big data machine learning application , Big data machine learning python , Big data machine learning ppt , Big data machine learning architecture , Big data machine learning artifical intelligence , Big data machine learning ai , Big data machine learning tutorial , Big data machine learning pdf , Big data machine learning algorithmis , Big data menurut marr , Big data analysis pdf , Big data akuntasi , Big data pdf . “ BIG DATA DAN MACHINE LEARNING , SARANA TERBAIK UNTUK ANDA PARA PEMBISNIS , , ISI MATERI TERLENGKAP DAN MEMPERMUDAH ANDA DALAM HAL PEKERJAAN . “ Ingin perusahaan anda, bisnis anda, pekarjaan anda sukses sesuai yang anda inginkan , kini dizaman serba digital BIG DATA dan MACHINE LEARNING akan mempermudah anda dalam hal berbisninis. Selain itu, BIG DATA dan MACHINE LEARNING bermanfaat untuk anda para pembisnis sebagai : Memahami dan Menargetkan Pelanggan , Memahami dan Mengoptimalkan Proses Bisnis , Kuantifikasi Pribadi dan Optimalisasi Kinerja , Meningkatkan Kesehatan , Meningkatkan Performa Olahraga ,Meningkatkan Sains dan Penelitian , Mengoptimalkan Kinerja Mesin dan Alat Perangkat , Meningkatkan Keamanan dan Penegakan Hukum , Meningkatkan dan Mengoptimalkan Kota dan Negara , Perdagangan Keuangan . Jika anda atau para pembisnis ingin tahu lebih banyak tentang BIG DATA dan MACHINE LEARNING Info Selanjutnya bisa Hubungi kami : PT. Brilyan Trimatra Utama Jl.Dahlia Raya Blok E 12 Kota Bekasi Phone : (+62) 21 - 820 - 6565 Email: [email protected] TLP / WA : (+62) 813 – 8143 – 2012 Email : [email protected]
Data Cleaning Tutorial (2018) | Cleaning Data With Python and Pandas
 
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This data cleaning tutorial will introduce you to Python's Pandas Library in 2018. Check out our website for the best Data Science tips in 2018: https://www.dataoptimal.com Subscribe for even more Data Science tutorials! https://bit.ly/2J2O5N8 Follow us on Twitter! https://twitter.com/DataOptimal **Video Resources** Full article: https://www.dataoptimal.com/data-cleaning-with-python-2018/ Dataset: https://github.com/dataoptimal/videos/tree/master/cleaning%20messy%20data%20with%20pandas Pandas link: http://pandas.pydata.org/pandas-docs/version/0.21/indexing.html#indexing-label Error handling in Python: https://docs.python.org/3/tutorial/errors.html Matt Brems material on missing values: https://github.com/matthewbrems/ODSC-missing-data-may-18/blob/master/Analysis%20with%20Missing%20Data.pdf It's the start of a new project and you're excited to apply some machine learning models. You take a look at the data and quickly realize it's an absolute mess. According to IBM Data Analytics you can expect to spend up to 80% of your time on a project cleaning data. There's all different types of messy data, but today we're going to focus on one of the most common, missing values. We'll take a look at standard types that Pandas recognizes out of the box. Next we'll take a look at some non-standard types. These are inputs that Pandas won't automatically recognize as missing values. After that we'll take a look at unexpected types. Let's say you have a column of names that contains a 12, technically that's a missing value. After we've finished detecting missing values we'll learn how to summarize and do simple replacements.
Views: 9056 DataOptimal
How to Clean Up Raw Data in Excel
 
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Al Chen (https://twitter.com/bigal123) is an Excel aficionado. Watch as he shows you how to clean up raw data for processing in Excel. This is also a great resource for data visualization projects. Subscribe to Skillshare’s Youtube Channel: http://skl.sh/yt-subscribe Check out all of Skillshare’s classes: http://skl.sh/youtube Like Skillshare on Facebook: https://www.facebook.com/skillshare Follow Skillshare on Twitter: https://twitter.com/skillshare Follow Skillshare on Instagram: http://instagram.com/Skillshare
Views: 89621 Skillshare
TLP / WA +62 813 – 8143 – 2012 Big data Machine Learning Analytics di Bekasi
 
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SARANA TERBAIK UNTUK UNTUK MEMPERMUDAH ANDA DALAM BERBISNIS !!!! Big data machine learning words, Big data machine learning solution, Big data machine learning tecniques, Big data machine learning training , Big data machine learning finance, Big data machine learning hadoop , Big data machine learning health care, Big data machine learning for disruption predictions, Big data machine learning finance , Big data machine learning ebook , Big data machine learning examples, Big data machine learning econometrics , Big data machine learning data mining , Big data machine learning data science, Big data machine learning definition , Big data machine learning difference, Big data machine learning diagram, Big data analytics mechine learning , Big data internasional, Big data Indonesia, Big data menurut para ahli , Big data technology , Big data machine learning cloud computing, Big data machine learning Colombia , Big data machine learning classification , Big data machine learning certification , Big data machine learning course, Big data machine learning consulting , Big data machine learning conference , Big data machine learning based secure health framework , Big data machine learning bussines intelligence , Big data machine learning and ai inportfolio management , Big data machine learning and graph analytics current state and future challenges , Big data machine learning and clinical medicine , Big data machine learning and the social sciences , Big data machine learning analytics , Big data machine learning datasets , Big data machine learning companies , Big data machine learning companies , Big data machine learning application , Big data machine learning python , Big data machine learning ppt , Big data machine learning architecture , Big data machine learning artifical intelligence , Big data machine learning ai , Big data machine learning tutorial , Big data machine learning pdf , Big data machine learning algorithmis , Big data menurut marr , Big data analysis pdf , Big data akuntasi , Big data pdf . “ BIG DATA DAN MACHINE LEARNING , SARANA TERBAIK UNTUK ANDA PARA PEMBISNIS , , ISI MATERI TERLENGKAP DAN MEMPERMUDAH ANDA DALAM HAL PEKERJAAN . “ Ingin perusahaan anda, bisnis anda, pekarjaan anda sukses sesuai yang anda inginkan , kini dizaman serba digital BIG DATA dan MACHINE LEARNING akan mempermudah anda dalam hal berbisninis. Selain itu, BIG DATA dan MACHINE LEARNING bermanfaat untuk anda para pembisnis sebagai : Memahami dan Menargetkan Pelanggan , Memahami dan Mengoptimalkan Proses Bisnis , Kuantifikasi Pribadi dan Optimalisasi Kinerja , Meningkatkan Kesehatan , Meningkatkan Performa Olahraga ,Meningkatkan Sains dan Penelitian , Mengoptimalkan Kinerja Mesin dan Alat Perangkat , Meningkatkan Keamanan dan Penegakan Hukum , Meningkatkan dan Mengoptimalkan Kota dan Negara , Perdagangan Keuangan . Jika anda atau para pembisnis ingin tahu lebih banyak tentang BIG DATA dan MACHINE LEARNING LEARNING . Info Selanjutnya bisa Hubungi kami : PT. Brilyan Trimatra Utama Jl.Dahlia Raya Blok E 12 Kota Bekasi Phone : (+62) 21 - 820 - 6565 Email: [email protected] TLP / WA : (+62) 813 – 8143 – 2012 Email : [email protected]
Excel Data Analysis: Sort, Filter, PivotTable, Formulas (25 Examples): HCC Professional Day 2012
 
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Download workbook: http://people.highline.edu/mgirvin/ExcelIsFun.htm Learn the basics of Data Analysis at Highline Community College Professional Development Day 2012: Topics in Video: 1. What is Data Analysis? ( 00:53 min mark) 2. How Data Must Be Setup ( 02:53 min mark) Sort: 3. Sort with 1 criteria ( 04:35 min mark) 4. Sort with 2 criteria or more ( 06:27 min mark) 5. Sort by color ( 10:01 min mark) Filter: 6. Filter with 1 criteria ( 11:26 min mark) 7. Filter with 2 criteria or more ( 15:14 min mark) 8. Filter by color ( 16:28 min mark) 9. Filter Text, Numbers, Dates ( 16:50 min mark) 10. Filter by Partial Text ( 20:16 min mark) Pivot Tables: 11. What is a PivotTable? ( 21:05 min mark) 12. Easy 3 step method, Cross Tabulation ( 23:07 min mark) 13. Change the calculation ( 26:52 min mark) 14. More than one calculation ( 28:45 min mark) 15. Value Field Settings (32:36 min mark) 16. Grouping Numbers ( 33:24 min mark) 17. Filter in a Pivot Table ( 35:45 min mark) 18. Slicers ( 37:09 min mark) Charts: 19. Column Charts from Pivot Tables ( 38:37 min mark) Formulas: 20. SUMIFS ( 42:17 min mark) 21. Data Analysis Formula or PivotTables? ( 45:11 min mark) 22. COUNTIF ( 46:12 min mark) 23. Formula to Compare Two Lists: ISNA and MATCH functions ( 47:00 min mark) Getting Data Into Excel 24. Import from CSV file ( 51:21 min mark) 25. Import from Access ( 54:00 min mark) Highline Community College Professional Development Day 2012 Buy excelisfun products: https://teespring.com/stores/excelisfun-store
Views: 1554133 ExcelIsFun
SAS Tutorials For Beginners | SAS Training | SAS Tutorial For Data Analysis | Edureka
 
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This SAS Tutorial is specially designed for beginners, it starts with Why Data Analytics is needed, goes on to explain the various tools in Data Analytics, and why SAS is used among them, towards the end we will see how we can install SAS software and a short demo on the same! In this SAS Tutorial video you will understand: 1) Why Data Analytics? 2) What is Data Analytics? 3) Data Science Analytics Tools 4) Why SAS? 5) What is SAS? 6) What SAS Solves? 7) Components of SAS 8) How can we practice Base SAS? 9) Demo Subscribe to our channel to get video updates. Hit the subscribe button above. Check our complete SAS Training playlist here: https://goo.gl/MMLyuN #SASTraining #SASTutorial #SASCertification How it Works? 1. There will be 30 hours of instructor-led interactive online classes, 40 hours of assignments and 20 hours of project 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. You will get Lifetime Access to the recordings in the LMS. 4. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate! - - - - - - - - - - - - - - About the Course The SAS training course is designed to provide knowledge and skills to become a successful Analytics professional. It starts with the fundamental concepts of rules of SAS as a Language to an introduction to advanced SAS topics like SAS Macros. - - - - - - - - - - - - - - Why Learn SAS? The Edureka SAS training certifies you as an ‘in demand’ SAS professional, to help you grab top paying analytics job titles with hands-on skills and expertise around data mining and management concepts. SAS is the primary analytics tool used by some of the largest KPOs, Banks like American Express, Barclays etc., financial services irms like GE Money, KPOs like Genpact, TCS etc., telecom companies like Verizon (USA), consulting companies like Accenture, KPMG etc use the tool effectively. - - - - - - - - - - - - - - Who should go for this course? This course is designed for professionals who want to learn widely acceptable data mining and exploration tools and techniques, and wish to build a booming career around analytics. The course is ideal for: 1. Analytics professionals who are keen to migrate to advanced analytics 2. BI /ETL/DW professionals who want to start exploring data to eventually become data scientist 3. Project Managers to help build hands-on SAS knowledge, and to become a SME via analytics 4. Testing professionals to move towards creative aspects of data analytics 5. Mainframe professionals 6. Software developers and architects 7. Graduates aiming to build a career in Big Data as a foundational step Please write back to us at [email protected] or call us at +918880862004 or 18002759730 for more information. Website: https://www.edureka.co/sas-training Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Customer Reviews: Sidharta Mitra, IBM MDM COE Head @ CTS , says, "Edureka has been an unique and fulfilling experience. The course contents are up-to-date and the instructors are industry trained and extremely hard working. The support is always willing to help you out in various ways as promptly as possible. Edureka redefines the way online training is conducted by making it as futuristic as possible, with utmost care and minute detailing, packaged into the a unique virtual classrooms. Thank you Edureka!"
Views: 50309 edureka!
TLP / WA +62 813 – 8143 – 2012 , Big data analysis pdf
 
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SARANA TERBAIK UNTUK UNTUK MEMPERMUDAH ANDA DALAM BERBISNIS !!!! Big data machine learning words, Big data machine learning solution, Big data machine learning tecniques, Big data machine learning training , Big data machine learning finance, Big data machine learning hadoop , Big data machine learning health care, Big data machine learning for disruption predictions, Big data machine learning finance , Big data machine learning ebook , Big data machine learning examples, Big data machine learning econometrics , Big data machine learning data mining , Big data machine learning data science, Big data machine learning definition , Big data machine learning difference, Big data machine learning diagram, Big data analytics mechine learning , Big data internasional, Big data Indonesia, Big data menurut para ahli , Big data technology , Big data machine learning cloud computing, Big data machine learning Colombia , Big data machine learning classification , Big data machine learning certification , Big data machine learning course, Big data machine learning consulting , Big data machine learning conference , Big data machine learning based secure health framework , Big data machine learning bussines intelligence , Big data machine learning and ai inportfolio management , Big data machine learning and graph analytics current state and future challenges , Big data machine learning and clinical medicine , Big data machine learning and the social sciences , Big data machine learning analytics , Big data machine learning datasets , Big data machine learning companies , Big data machine learning companies , Big data machine learning application , Big data machine learning python , Big data machine learning ppt , Big data machine learning architecture , Big data machine learning artifical intelligence , Big data machine learning ai , Big data machine learning tutorial , Big data machine learning pdf , Big data machine learning algorithmis , Big data menurut marr , Big data analysis pdf , Big data akuntasi , Big data pdf . “ BIG DATA DAN MACHINE LEARNING , SARANA TERBAIK UNTUK ANDA PARA PEMBISNIS , , ISI MATERI TERLENGKAP DAN MEMPERMUDAH ANDA DALAM HAL PEKERJAAN . “ Ingin perusahaan anda, bisnis anda, pekarjaan anda sukses sesuai yang anda inginkan , kini dizaman serba digital BIG DATA dan MACHINE LEARNING akan mempermudah anda dalam hal berbisninis. Selain itu, BIG DATA dan MACHINE LEARNING bermanfaat untuk anda para pembisnis sebagai : Memahami dan Menargetkan Pelanggan , Memahami dan Mengoptimalkan Proses Bisnis , Kuantifikasi Pribadi dan Optimalisasi Kinerja , Meningkatkan Kesehatan , Meningkatkan Performa Olahraga ,Meningkatkan Sains dan Penelitian , Mengoptimalkan Kinerja Mesin dan Alat Perangkat , Meningkatkan Keamanan dan Penegakan Hukum , Meningkatkan dan Mengoptimalkan Kota dan Negara , Perdagangan Keuangan . Jika anda atau para pembisnis ingin tahu lebih banyak tentang BIG DATA dan MACHINE LEARNING Info Selanjutnya bisa Hubungi kami : PT. Brilyan Trimatra Utama Jl.Dahlia Raya Blok E 12 Kota Bekasi Phone : (+62) 21 - 820 - 6565 Email: [email protected] TLP / WA : (+62) 813 – 8143 – 2012 Email : [email protected]
TLP / WA +62 813 – 8143 – 2012 , Big data pdf
 
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SARANA TERBAIK UNTUK UNTUK MEMPERMUDAH ANDA DALAM BERBISNIS !!!! Big data machine learning words, Big data machine learning solution, Big data machine learning tecniques, Big data machine learning training , Big data machine learning finance, Big data machine learning hadoop , Big data machine learning health care, Big data machine learning for disruption predictions, Big data machine learning finance , Big data machine learning ebook , Big data machine learning examples, Big data machine learning econometrics , Big data machine learning data mining , Big data machine learning data science, Big data machine learning definition , Big data machine learning difference, Big data machine learning diagram, Big data analytics mechine learning , Big data internasional, Big data Indonesia, Big data menurut para ahli , Big data technology , Big data machine learning cloud computing, Big data machine learning Colombia , Big data machine learning classification , Big data machine learning certification , Big data machine learning course, Big data machine learning consulting , Big data machine learning conference , Big data machine learning based secure health framework , Big data machine learning bussines intelligence , Big data machine learning and ai inportfolio management , Big data machine learning and graph analytics current state and future challenges , Big data machine learning and clinical medicine , Big data machine learning and the social sciences , Big data machine learning analytics , Big data machine learning datasets , Big data machine learning companies , Big data machine learning companies , Big data machine learning application , Big data machine learning python , Big data machine learning ppt , Big data machine learning architecture , Big data machine learning artifical intelligence , Big data machine learning ai , Big data machine learning tutorial , Big data machine learning pdf , Big data machine learning algorithmis , Big data menurut marr , Big data analysis pdf , Big data akuntasi , Big data pdf . “ BIG DATA DAN MACHINE LEARNING , SARANA TERBAIK UNTUK ANDA PARA PEMBISNIS , , ISI MATERI TERLENGKAP DAN MEMPERMUDAH ANDA DALAM HAL PEKERJAAN . “ Ingin perusahaan anda, bisnis anda, pekarjaan anda sukses sesuai yang anda inginkan , kini dizaman serba digital BIG DATA dan MACHINE LEARNING akan mempermudah anda dalam hal berbisninis. Selain itu, BIG DATA dan MACHINE LEARNING bermanfaat untuk anda para pembisnis sebagai : Memahami dan Menargetkan Pelanggan , Memahami dan Mengoptimalkan Proses Bisnis , Kuantifikasi Pribadi dan Optimalisasi Kinerja , Meningkatkan Kesehatan , Meningkatkan Performa Olahraga ,Meningkatkan Sains dan Penelitian , Mengoptimalkan Kinerja Mesin dan Alat Perangkat , Meningkatkan Keamanan dan Penegakan Hukum , Meningkatkan dan Mengoptimalkan Kota dan Negara , Perdagangan Keuangan . Jika anda atau para pembisnis ingin tahu lebih banyak tentang BIG DATA dan MACHINE LEARNING LEARNING . Info Selanjutnya bisa Hubungi kami : PT. Brilyan Trimatra Utama Jl.Dahlia Raya Blok E 12 Kota Bekasi Phone : (+62) 21 - 820 - 6565 Email: [email protected] TLP / WA : (+62) 813 – 8143 – 2012 Email : [email protected]