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Google Search - Data Mining #4
 
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Searching the Internet using Google custom search API. Starting by setting up a Google Custom Search to search the entire web. Then setting up Custom Search API to access the search service in a with in your code. GitHub/NBViewer Link: http://nbviewer.ipython.org/github/twistedhardware/mltutorial/blob/master/notebooks/data-mining/4.%20Google%20Custom%20Search.ipynb Other important Links: Google Custom Search: https://www.google.com/cse/ Google Developer Console: https://console.developers.google.com/ Custom Search Documentation: https://developers.google.com/custom-search/json-api/v1/reference/cse/list
Views: 9497 Roshan
Google Analytics Data Mining with R (includes 3 Real Applications)
 
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R is already a Swiss army knife for data analysis largely due its 6000 libraries but until now it lacked an interface to the Google Analytics API. The release of RGoogleAnalytics library solves this problem. What this means is that digital analysts can now fully use the analytical capabilities of R to fully explore their Google Analytics Data. In this webinar, Andy Granowitz, ‎Developer Advocate (Google Analytics) & Kushan Shah, Contributor & maintainer of RGoogleAnalytics Library will show you how to use R for Google Analytics data mining & generate some great insights. Useful Resources:http://bit.ly/r-googleanalytics-resources
Views: 28187 Tatvic Analytics
Data to Money: How Much Does Google Owe You?
 
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The Rest Of Us on Patreon: https://www.patreon.com/TheRestOfUs The Rest Of Us on Twitter: http://twitter.com/TROUchannel The Rest Of Us T-Shirts and More: http://teespring.com/TheRestOfUsClothing Credits: Jaron Lanier: Who Owns the Future Georg Polzer: Designing the Data Economy https://www.youtube.com/watch?v=OILe_ikGTSc
Views: 202892 The Rest Of Us
Analyzing Big Data in less time with Google BigQuery
 
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Most experienced data analysts and programmers already have the skills to get started. BigQuery is fully managed and lets you search through terabytes of data in seconds. It’s also cost effective: you can store gigabytes, terabytes, or even petabytes of data with no upfront payment, no administrative costs, and no licensing fees. In this webinar, we will: - Build several highly-effective analytics solutions with Google BigQuery - Provide a clear road map of BigQuery capabilities - Explain how to quickly find answers and examples online - Share how to best evaluate BigQuery for your use cases - Answer your questions about BigQuery
Views: 55257 Google Cloud Platform
Google & Facebook Use YOUR DATA for Cool/Creepy Things
 
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- What are Google and Facebook doing behind the scenes? How often are we being tracked? Just how bad is the Facebook Messenger application? What else do these companies know about us? These answers are cool and creepy! Support us on Amazon! http://geni.us/RJ1nymB Newegg link for cool kids: http://bit.ly/2AkBuRt ---Our Studio Gear--- Panasonic Lumix G85 (Primary): http://amzn.to/2zoJ1AX StudioPRO 1000W Softboxes: http://amzn.to/2zCl5e5 Audio-Technica AT2035: http://amzn.to/2yblmk1 Yamaha MG10XU Mixer: http://amzn.to/2zCP2e6 Panasonic FZ1000 (Secondary): http://amzn.to/2iBoM8U Neewer Microphone Arm: http://amzn.to/2h9FEn3 Alphacool Build Mat: http://amzn.to/2zmXXzu PATREON: http://www.patreon.com/ScienceStudioYT TWITCH: http://www.twitch.tv/ScienceStudioYT FACEBOOK: http://www.facebook.com/ScienceStudioYT TWITTER: http://www.twitter.com/ScienceStudioYT INSTAGRAM: http://www.instagram.com/ScienceStudioYT Subscribe to the channel! MUSIC: 'Evening Aesthetics' by Veeshy Provided by Silk Music http://www.youtube.com/silkmusic
Views: 11945 Science Studio
How To Extract/Scrape Google Search Result Using Data Miner
 
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Data Miner(Google Chrome Extension) https://chrome.google.com/webstore/detail/dataminer/nndknepjnldbdbepjfgmncbggmopgden Use Data Miner to extract Google Search Result Website URL into CSV File. Web Scraping Web Scraper Google Search Result Scraper Google Search Result Scraping Leave your comment. Thank You.
Views: 17921 Craftive Dojo
Data Mining using Google Correlate
 
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In this video you will be introduced to the Google product "Google Correlate"". You can find which search word trend is matching with the real world time series data. Contact us [email protected]
Views: 1556 Analytics University
Google Data Center 360° Tour
 
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Take a Google data center tour in 360° -- brought to you by the Google Cloud Platform team. Learn about the massive scale, the incredible attention to security and privacy, and the amazing efforts to make the data center extremely efficient and green. How to view the 360° video: Desktop using Google Chrome: Use your mouse or trackpad to change your view while the video plays -- highly recommend viewing in 4K YouTube app on mobile: Move your device around to look at all angles while the video plays Google Cardboard: Load the video in the YouTube app and tap on the cardboard icon when the video starts to play. Insert your phone in cardboard and enjoy. Cardboard is currently only supported by the YouTube app on Android. iOS support is coming soon! Learn more about Google Cloud Platform -- https://cloud.google.com Google Cloud Platform Blog -- https://cloudplatform.googleblog.com/2016/03/Google-Data-Center-360-Tour.html Google Cloud Platform Podcast -- https://www.gcppodcast.com/ Learn more about Google Data Centers -- http://www.google.com/about/datacenters Follow the Google Cloud Platform Developer Advocates -- https://twitter.com/googlecloud/lists...
Views: 2778361 Google Cloud Platform
Quick Data Analysis with Google Sheets | Part 1
 
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Spreadsheet software like Excel or Google Sheets are still a very widely used toolset for analyzing data. Sheets has some built-in Quick analysis features that can help you to get a overview on your data and very fast get to insights. #DataAnalysis #GoogleSheet #measure 🔗 Links mentioned in the video: Supermetrics: http://supermetrics.com/?aff=1014 GA Demo account: https://support.google.com/analytics/answer/6367342?hl=en 🎓 Learn more from Measureschool: http://measureschool.com/products GTM Copy Paste https://chrome.google.com/webstore/detail/gtm-copy-paste/mhhidgiahbopjapanmbflpkcecpciffa 🚀Looking to kick-start your data journey? Hire us: https://measureschool.com/services/ 📚 Recommended Measure Books: https://kit.com/Measureschool/recommended-measure-books 📷 Gear we used to produce this video: https://kit.com/Measureschool/measureschool-youtube-gear Our tracking stack: Google Analytics: https://analytics.google.com/analytics/web/ Google Tag Manager: https://tagmanager.google.com/ Supermetrics: http://supermetrics.com/?aff=1014 ActiveCampaign: https://www.activecampaign.com/?_r=K93ZWF56 👍 FOLLOW US Facebook: http://www.facebook.com/measureschool Twitter: http://www.twitter.com/measureschool
Views: 9652 Measureschool
The Terrifying Cost of "Free” Websites
 
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If you're not paying, you're not the customer--you're the product. #AdamRuinsEverything Watch an all-new Adam Ruins Everything on truTV every Tuesday 10/9C Catch up with clips & full episodes of Adam Ruins Everything at truTV.com/adamruinseverything Like Adam Ruins Everything on Facebook at: facebook.com/truTVAdamRuinsEverything/ Follow Adam Ruins Everything on Twitter at: twitter.com/adamruins See more http://www.collegehumor.com LIKE us on: http://www.facebook.com/collegehumor FOLLOW us on: http://www.twitter.com/collegehumor FOLLOW us on: http://www.collegehumor.tumblr.com
Views: 5701664 CollegeHumor
A.I. Experiments: Visualizing High-Dimensional Space
 
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Check out https://g.co/aiexperiments to learn more. This experiment helps visualize what’s happening in machine learning. It allows coders to see and explore their high-dimensional data. The goal is to eventually make this an open-source tool within TensorFlow, so that any coder can use these visualization techniques to explore their data. http://g.co/aiexperiments Built by Daniel Smilkov, Fernanda Viégas, Martin Wattenberg, and the Big Picture team at Google. More resources: http://www.tensorflow.org
Views: 456453 Google Developers
Introduction to Data Mining: Data Quality
 
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In this next topic, we introduce the most overlooked step in data mining, Data Quality. -- At Data Science Dojo, we're extremely passionate about data science. Our in-person data science training has been attended by more than 3500+ employees from over 700 companies globally, including many leaders in tech like Microsoft, Apple, and Facebook. -- Learn more about Data Science Dojo here: https://hubs.ly/H0f8M2X0 See what our past attendees are saying here: https://hubs.ly/H0f8M330 -- Like Us: https://www.facebook.com/datascienced... Follow Us: https://plus.google.com/+Datasciencedojo Connect with Us: https://www.linkedin.com/company/data... Also find us on: Google +: https://plus.google.com/+Datasciencedojo Instagram: https://www.instagram.com/data_scienc... -- Vimeo: https://vimeo.com/datasciencedojo
Views: 5076 Data Science Dojo
Downloading Data from Google Trends And Analyzing It With R
 
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Follow me on Twitter @amunategui Check out my new book "Monetizing Machine Learning": https://amzn.to/2CRUOKu In this video, I introduce Google Trends by querying it directly through the web, downloading a comma-delimited file of the results, and analyzing it in R. Full walkthrough and code: http://amunategui.github.io/google-trends-walkthrough/ Support these videos, check out my in-depth classes on Udemy.com (discounts and specials) at http://amunategui.github.io/udemy/
Views: 20409 Manuel Amunategui
PageRank Algorithm - Example
 
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Full Numerical Methods Course: https://bit.ly/2wYb2xf
Views: 47442 Balazs Holczer
Google aids Obama with datamining and data rigging
 
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This is so much as an admission to Google utilizing its power to elect a President. This is accomplished by favoritism that skews information found in searches to favor a political party. It is big-brother for profit. Google: "And the Obama campaign used...essentially data modeling of one kind or another to try to target voters that might be willing to vote for the President, and they did so extremely well."....Actually, NOOOOO...Google used data modeling to target Obama voters, and they utilized that advertising power to help rig the election FOR Obama.
Views: 168 mulhollanddose
"Statistics and Big Data at Google"
 
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Tim Hesterberg, Senior Statistician, Google
Nikunj Oza: "Data-driven Anomaly Detection" | Talks at Google
 
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This talk will describe recent work by the NASA Data Sciences Group on data-driven anomaly detection applied to air traffic control over Los Angeles, Denver, and New York. This data mining approach is designed to discover operationally significant flight anomalies, which were not pre-defined. These methods are complementary to traditional exceedance-based methods, in that they are more likely to yield false alarms, but they are also more likely to find previously-unknown anomalies. We discuss the discoveries that our algorithms have made that exceedance-based methods did not identify. Nikunj Oza is the leader of the Data Sciences Group at NASA Ames Research Center. He also leads a NASA project team which applies data mining to aviation safety. Dr. Ozaąs 40+ research papers represent his research interests which include data mining, machine learning, anomaly detection, and their applications to Aeronautics and Earth Science. He received the Arch T. Colwell Award for co-authoring one of the five most innovative technical papers selected from 3300+ SAE technical papers in 2005. His data mining team received the 2010 NASA Aeronautics Research Mission Directorate Associate Administratorąs Award for best technology achievements by a team. He received his B.S. in Mathematics with Computer Science from MIT in 1994, and M.S. (in 1998) and Ph.D. (in 2001) in Computer Science from the University of California at Berkeley.
Views: 7675 Talks at Google
Using Google advanced search and data miner to search for people on LinkedIn
 
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This video provides a practical example of using the advanced search feature in Google, GSuite and the dataminerio extension to search for candidates on LinkedIn or other websites.
Views: 1683 Rod Czydel
Meet Research Scientists at Google
 
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From creating experiments and prototyping implementations to designing new architectures, Research Scientists work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, core search and more. Learn about our work, team culture, and what makes being a Research Scientist at Google so exciting. Check out open Research Scientist jobs → https://goo.gl/W16BbU Subscribe to Life at Google for more videos → https://goo.gl/kqwUZd Follow us! Twitter: https://goo.gl/kdYxFP Facebook: https://goo.gl/hXDzLf Google Plus: https://goo.gl/YBcMZK #LifeAtGoogle
Views: 24066 Life at Google
Google and CIA Internet Data Mining Project
 
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Google Ventures, the investment arm of Google, has injected a sum of up to $10 million, as has In-Q-Tel -- which handles investments for the CIA and the wider intelligence network -- into a company called Recorded Future. The company describes its analytics as "the ultimate tool for open-source intelligence". Wired's defence analyst, Noah Schachtman, has a detailed report on the joint venture: "...it scours tens of thousands of websites, blogs and Twitter accounts to find the relationships between people, organizations, actions and incidents — both present and still-to-come. In a white paper, the company says its temporal analytics engine "goes beyond search" by "looking at the 'invisible links' between documents that talk about the same, or related, entities and events." The idea is to figure out for each incident who was involved, where it happened and when it might go down. Recorded Future then plots that chatter, showing online "momentum" for any given event." Recorded Future "continually scans thousands of news publications, blogs, niche sources, trade publications, government web sites, financial databases and more," according to it's portfolio. It sifts through millions of posts and conversations taking place on blogs, YouTube, Twitter and Amazon to "assemble actual real-time dossiers on people." It is also being integrated with Google Earth, which, as Schachtman points out in his piece, was seeded with In-Q-Tel/CIA investment. This integration will allow real time tracking of the locations of persons or groups as part of the overall intelligence dossier. Recorded Future takes in vast amounts of personal information such as employment changes, personal education and family relations. The video also shows categories covering pretty much everything else, including entertainment, music and movie releases, as well as other innocuous things like patent filings and product recalls.
Views: 6226 the1dutchmaster
Using Google Analytics for Data-Driven Marketing - Dan Stone
 
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Dan Stone, Product Manager at Google Analytics H2O World 2015, Day 2 Join the Movement: open source machine learning software from H2O.ai, go to Github repository https://github.com/h2oai Do you like this? Check out more talks on open source machine learning software at: http://www.slideshare.net/0xdata
Views: 2454 H2O.ai
Stanford Seminar - Insights with New Data: Using Google Search Data
 
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"Insights with New Data: Using Google Search Data " - Seth Stephens-Davidowitz of Google Colloquium on Computer Systems Seminar Series (EE380) presents the current research in design, implementation, analysis, and use of computer systems. Topics range from integrated circuits to operating systems and programming languages. It is free and open to the public, with new lectures each week. Learn more: http://bit.ly/WinYX5
Views: 2991 stanfordonline
How to collect data from Yellow pages, Yelp, Yell | Data mining from yellow pages, yelp | MH Info |
 
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How to collect data from Yellow pages, Yelp, Yell | Data mining from yellow pages, yelp | MH INFO | How to collect data from google, yahoo, Bing How to collect data from Yellow pages How to collect data yelp.com Data mining Bangla tutorial Data collected from google Data Mining from Directory site. For freelancing related any help join the Facebook group https://www.facebook.com/groups/web.research/ Please like, comment, share the video & subscribe my channel for the latest update.
Views: 2232 MH INFO
Google Data Studio: tutorial semplice per capirne le potenzialità
 
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Tramite un semplice tutorial vi mostro come impostare un KPI al fine di far comprendere le potenzialità di questa piattaforma. YouTube Analytics viene preso come esempio giusto per far vedere un tipo di risultato, Google Data Studio può importare i dati da molte fonti. Un video utile a tutti per una piattaforma che sta cambiando il settore :) --- PUNTATA Spreaker: Mobile First Indexing: la VERA rivoluzione che verrà! https://goo.gl/XuRerS Eventi: Social Media Strategies https://goo.gl/kLnsWm Search Marketing Connect https://goo.gl/RKS74g SEGUICI ALMENO FINO AL PROSSIMO VIDEO Iscriviti al canale YouTube: http://bit.ly/IscrivitiAlCanale Telegram http://goo.gl/l5J8Z7 Facebook https://goo.gl/oXnhZW Twitter: https://goo.gl/gKhCtI ------------------------------- ☆ Sul Forum GT potete approfondire qualsiasi argomento legato al web http://www.giorgiotave.it/forum/ ☆ ☆ Sul Master Club potete trovarci in giro per l'Italia con i nostri eventi, oppure seguire la formazione online http://www.gtmasterclub.it/ ☆
Views: 5405 Giorgio Taverniti
Extracting Email Addresses with GOOGLE -  Extract using data miner
 
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Extracting Email Addresses with GOOGLE - Extract using data miner
Views: 573 Compu technology
Introduction to Data Mining: Data Noise
 
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In part 2 of the introduction to Data Quality, we discuss noise that can overlap valid data and outliers. -- At Data Science Dojo, we're extremely passionate about data science. Our in-person data science training has been attended by more than 3500+ employees from over 700 companies globally, including many leaders in tech like Microsoft, Apple, and Facebook. -- Learn more about Data Science Dojo here: https://hubs.ly/H0f8M3q0 See what our past attendees are saying here: https://hubs.ly/H0f8Llr0 -- Like Us: https://www.facebook.com/datascienced... Follow Us: https://plus.google.com/+Datasciencedojo Connect with Us: https://www.linkedin.com/company/data... Also find us on: Google +: https://plus.google.com/+Datasciencedojo Instagram: https://www.instagram.com/data_scienc... -- Vimeo: https://vimeo.com/datasciencedojo
Views: 5133 Data Science Dojo
HOWTO: Scrape/data-mine emails from Google Maps
 
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The key to unlocking unlimited leads and getting their email addresses from Google Maps is BlackMaps.
Views: 10465 Ben Camp
Google Data Studio Tutorial Part #1: Why We Use Data Studio
 
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We’ve all heard the saying "A picture is worth a thousand words." But a picture of your marketing data can be worth much more than words! If you’re using charts or graphs to present your work to your stakeholders or clients, pictures of your data could be worth LOTS OF MONEY. *Read full tutorial - https://www.jeffalytics.com/google-data-studio-tutorial/ Data visualization can also be critical to internal reporting. Using a dashboard can help your team track their progress and achieve their goals quicker. But creating a picturesque, “budget approved” worthy marketing reports can take forever. As I much as I hate to admit it, I used to spend 30+ hours a week building reports for clients. Fortunately, nowadays, there are tools like Google Data Studio (GDS) that can help significantly reduce the time it takes to produce reports. And with the right game plan, we can create reports that allow our clients or our organization to see our grand marketing vision. Reporting is critical to every business. Reports show clients, team members, and stakeholders the results of our marketing efforts. Reporting also plays a vital role in getting budgets approved and contracts renewed. But there are two major obstacles to delivering the kind of reports that get people to take action. The first obstacle is time. Mining data and formatting charts can eat up hours and hours of time. The second obstacle to effective reporting is strategy. Without strategy, reports have a habit of turning into a jumbled mess of disjointed KPIs. It's our job as marketers, to make sure our audience can follow our reports. So we need to create reports that communicate a story about our marketing strategy. Our reports should highlight our results and provide conclusions we can use to inform our decisions making. In this tutorial, we are going learn how to use Google Data Studio to reduce our reporting time and effort. We'll look at how to: - Get started in Data Studio -Use the GDS data connectors to save yourself from repetitive data mining - Create branded charts, graphs and tables without doing hours of data manipulation Once we have some Data Studio basics under our belt, we'll look at how we can use strategy to deliver better reports. I'll introduce my brand new ACES Framework, and we'll look at how to: - Use ACES to picture our entire marketing funnel, top-to-bottom - Create a Data Studio dashboard that reports on our complete marketing funnel - Build targets in your reports so that you can measure your progress toward your goals - Connect Data Studio to platforms outside the Google family of products. Google Data Studio Tutorial - Part #1 - Why should we use Google Data Studio? Live data and integrations are a difference maker There are three key ingredients that make Google Data Studio such a useful platform. More effective graphics The visualizations in Data Studio are easy to use. They also feature a lot of design options. And they about 100x more attention-grabbing than the Excel charts and tables, or the Google Analytics dashboards. Automating data mining Connecting GDS to your other marketing systems can save you from hours of data mining. Data Studio natively connects to over 17 different platforms. These platforms include Google Analytics, Google Ads, YouTube, and Google Sheets. You can also use the Data Studio partner connectors to hook up to over 90 other data sources. As part of this tutorial, we’ll take a quick look at a premium partner connector - Supermetrics - that can help you connect to: Facebook, LinkedIn, Twitter, Pinterest, SEMRush and many other platforms. Live Dashboards Data Studio reports are live. As long as your marketing systems are connected to Data Studio, your dashboard can serve as a real-time picture of your KPIs. Follow along with the rest of our Data Studio Tutorial - https://www.jeffalytics.com/google-data-studio-tutorial/
Views: 409 Jeffalytics
DATA & ANALYTICS: Analyzing 25 billion stock market events in an hour with NoOps on GCP
 
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Recorded on Mar 23 2016 at GCP NEXT 2016 in San Francisco. Watch how FIS & Google are working to build a next-generation stock market reconstruction system that aims to bring transparency to the US financial markets and drive innovation across financial services. In this video we dive into the proposed system architecture and show how products like Cloud Bigtable, Cloud Dataflow and BigQuery enable this process. As part of the exercise, we ran a load test to process, validate, and link 25 billion US equities and options market events in 50 minutes, generating some impressive statistics in the process. Speakers: Neil Palmer and Todd Ricker from FIS and Carter Page from Google.
Views: 19834 Google Cloud Platform
SAXually Explicit Images: Data Mining Large Shape Databases
 
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Google TechTalks May 12, 2006 Eamonn Keogh ABSTRACT The problem of indexing large collections of time series and images has received much attention in the last decade, however we argue that there is potentially great untapped utility in data mining such collections. Consider the following two concrete examples of problems in data mining. Motif Discovery (duplication detection): Given a large repository of time series or images, find approximately repeated patterns/images. Discord Discovery: Given a large repository of time series or images, find the most unusual time series/image. As we will show, both these problems have applications in fields as diverse as anthropology, crime prevention, zoology and entertainment. Both problems are trivial to solve given time quadratic in the number of objects, but only a linear time solution is tractable for realistic problems. In this talk we will show how a symbolic representation of the data call SAX (Symbolic Aggregate ApproXimation) allows fast, scalable solutions to these problems. Google engEDU
Views: 4423 GoogleTalksArchive
Statistical Aspects of Data Mining (Stats 202) Day 1
 
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Google Tech Talks June 26, 2007 ABSTRACT This is the Google campus version of Stats 202 which is being taught at Stanford this summer. I will follow the material from the Stanford class very closely. That material can be found at www.stats202.com. The main topics are exploring and visualizing data, association analysis, classification, and clustering. The textbook is Introduction to Data Mining by Tan, Steinbach and Kumar. Googlers are welcome to attend any classes which they think might be of interest to them. Credits: Speaker:David Mease
Views: 213544 GoogleTechTalks
Mining Your Logs - Gaining Insight Through Visualization
 
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Google Tech Talk (more info below) March 30, 2011 Presented by Raffael Marty. ABSTRACT In this two part presentation we will explore log analysis and log visualization. We will have a look at the history of log analysis; where log analysis stands today, what tools are available to process logs, what is working today, and more importantly, what is not working in log analysis. What will the future bring? Do our current approaches hold up under future requirements? We will discuss a number of issues and will try to figure out how we can address them. By looking at various log analysis challenges, we will explore how visualization can help address a number of them; keeping in mind that log visualization is not just a science, but also an art. We will apply a security lens to look at a number of use-cases in the area of security visualization. From there we will discuss what else is needed in the area of visualization, where the challenges lie, and where we should continue putting our research and development efforts. Speaker Info: Raffael Marty is COO and co-founder of Loggly Inc., a San Francisco based SaaS company, providing a logging as a service platform. Raffy is an expert and author in the areas of data analysis and visualization. His interests span anything related to information security, big data analysis, and information visualization. Previously, he has held various positions in the SIEM and log management space at companies such as Splunk, ArcSight, IBM research, and PriceWaterhouse Coopers. Nowadays, he is frequently consulted as an industry expert in all aspects of log analysis and data visualization. As the co-founder of Loggly, Raffy spends a lot of time re-inventing the logging space and - when not surfing the California waves - he can be found teaching classes and giving lectures at conferences around the world. http://about.me/raffy
Views: 25116 GoogleTechTalks
Data Mining for Privacy | Data Dialogs 2014
 
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Data Mining for Privacy Jessica Staddon, Google Data Dialogs Conference 2014 UC Berkeley School of Information http://datadialogs.ischool.berkeley.edu/ The privacy dangers of data mining are serious and much discussed. Data mining also can help us understand privacy attitudes and behaviors. This talk will cover some recent efforts to leverage public data to better support anonymity and understand topic sensitivity. Use cases include anonymous blogging, document sanitization and more user-friendly sharing and advertising. I will also talk about challenges in moving forward with this area of research and open problems.
Mining data on Google+ with Python: 1- Setting up Google+ API with Python
 
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We will set up our Google+ APi with creating an API key and putting it to test to do some initial testing to see if it works. ------ Channel link: https://goo.gl/nVWDos Subscribe here: https://goo.gl/gMdGUE ---- Join my Facebook Group to stay connected: http://bit.ly/2lZ3FC5 Like my Facebbok Page for updates: https://www.facebook.com/tigerstylecodeacademy/ Follow me on Twitter: https://twitter.com/sukhsingh Profile on LinkedIn: https://www.linkedin.com/in/singhsukh/ ---- Schedule: New educational videos every week ----- Source Code for tutorials on Youtube: http://bit.ly/2nSQSAT ----- Learn Something New: ------ Learn Something New: http://bit.ly/2zSkzGh ----- Learn Something New: ------ Learn Something New: http://bit.ly/2zSkzGh
Views: 359 Sukhvinder Singh
Analyzing Text Data with Google Sheets and Cloud Natural Language (Cloud Next '18)
 
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Some of the most valuable insights for businesses come from free-form user feedback, but text data can be difficult to process and summarize in a scalable way. This session will show how to use Cloud Natural Language to open up opportunities for analyzing qualitative feedback alongside quantitative data. I’ll show you how to use Google Forms to collect feedback, Google Sheets and Cloud Natural Language to analyze it, and Data Studio to visualize the insights; a powerful yet lightweight solution! Event schedule → http://g.co/next18 Watch more Collaboration & Productivity sessions here → http://bit.ly/2LldTsw Next ‘18 All Sessions playlist → http://bit.ly/Allsessions Subscribe to the Google Cloud channel! → http://bit.ly/NextSub
Views: 1983 G Suite
Data Mining- google zeitgeist
 
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Data Mining- google zeitgeist
Views: 141 John Paul
Wrangling Data with Pandas (AI Adventures)
 
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In this episode of AI Adventures, Yufeng explores the fascinating world of pandas, an open-source python library that provides easy to use, high-performance data structures and data analysis tools. Associated Medium post "Wrangling data with Pandas": https://goo.gl/txENbw Pandas: http://pandas.pydata.org/ Watch more episodes of AI Adventures: https://goo.gl/UC5usG Subscribe to get all the episodes as they come out: https://goo.gl/S0AS51
Views: 29801 Google Cloud Platform
Drone Light Shows For Special Needs People And Google Gmail Data Mining Concerns
 
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Vlog Topics: -A drone light show being shown in an Air Force Base -Gmail data mining by reading e-mail concerns used for marketing -Infrared video rain and soccer -Drone video of the skytrain and city https://youtu.be/J1eghjCKnO8 Vlog #550 Subscribe: https://www.youtube.com/c/alanyu?sub_confirmation=1 Current Equipment Used For Filming: Action Camera - Sony FDR-X3000: http://amzn.to/2jFdJxW Aerial Drone (UAV) - DJI Mavic Pro: http://amzn.to/2iR0Ool Thermal Camera Phone – Opgal Therm-App 25 Hz: http://amzn.to/2ykrvcV Polar Pro DJI Mavic Pro Cinema Series Filters: http://amzn.to/2ltp70q ___________________________________________________________ Current Gaming Systems And Accessories: Nintendo Switch Console: http://amzn.to/2lttGYA Pokemon Go Plus: http://amzn.to/2ltvqRR Sweatcoins https://sweatco.in/loves/alanyu Connect With Me - Website: http://www.alanjhyu.com Twitter: http://www.twitter.com/alanyu Facebook: https://www.facebook.com/alanjhyu
Views: 49 Alan Yu
The Google Books Settlement: Data Mining and Non-Consumptive Use
 
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Session 1 of "The Google Books Settlement and the Future of Information Access". Moderator: Eric Kansa; Panelists: Peter Brantley, Director of Access, Internet Archive; Jim Pitman, Professor of Statistics, UC Berkeley. More information: http://www.ischool.berkeley.edu/newsandevents/events/20090828googlebooksconference
Views: 1008 UC Berkeley Events
Searching for Bitcoins in GitHub repositories with Google BigQuery
 
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People leak stuff on github all the time. ssh private keys, national ID scans, ... Maybe we can find some Bitcoin private keys and get rich!? Google BigQuery: https://cloud.google.com/bigquery/ GitHub BigQuery Dataset: https://cloud.google.com/bigquery/public-data/github -------------------------------------- Twitter: https://twitter.com/LiveOverflow Website: http://liveoverflow.com/ Subreddit: https://www.reddit.com/r/LiveOverflow/ Facebook: https://www.facebook.com/LiveOverflow/
Views: 133957 LiveOverflow
Introduction to Data Mining: Data Aggregation
 
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In part two of data preprocessing, we discuss aggregation. -- At Data Science Dojo, we're extremely passionate about data science. Our in-person data science training has been attended by more than 3500+ employees from over 700 companies globally, including many leaders in tech like Microsoft, Apple, and Facebook. -- Learn more about Data Science Dojo here: https://hubs.ly/H0f8M6V0 See what our past attendees are saying here: https://hubs.ly/H0f8Ln80 -- Like Us: https://www.facebook.com/datascienced... Follow Us: https://plus.google.com/+Datasciencedojo Connect with Us: https://www.linkedin.com/company/data... Also find us on: Google +: https://plus.google.com/+Datasciencedojo Instagram: https://www.instagram.com/data_scienc... -- Vimeo: https://vimeo.com/datasciencedojo
Views: 6396 Data Science Dojo
Data Mining 02 Google Drive
 
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Data Mining 02 Google Drive
Views: 468 GaryBoetticher
What is outliers in data mining
 
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What is outliers in data mining - Find out more explanation for : 'What is outliers in data mining' only from this channel. Information Source: google
Views: 110 WikiAudio10
Scrape Web Data with Google Chrome
 
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How to scrape web data with Google Chrome using the Data Miner Chrome Extension. We create Recipes, which are equivalent of Macros, using the Data Miner. View this video on my website: https://www.exceltrainingvideos.com/scrape-web-data-with-google-chrome/
Views: 2152 Dinesh Kumar Takyar
Tutorial: Google Sheets for Data Analysis
 
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Using google sheets to analyze and graph large data sets
Views: 4769 Maxwell Fazio
Anders Sandberg - Google vs Death - Big Data - Mining the Quantitive Self
 
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Future of Humanity Institute: www.fhi.ox.ac.uk - Also see other recent interviews on Google's Anti-Aging initiative: - Ben Goertzel: https://www.youtube.com/watch?v=dtkjWijmR4M - Aubrey de Grey: http://www.youtube.com/watch?v=1_Cr3XeVk7k - Christine Peterson: http://www.youtube.com/watch?v=KYpSYGarWkY - Karl Hale: http://www.youtube.com/watch?v=SojxtW-r-dM - James Hughes: http://www.youtube.com/watch?v=7zp5bXfVcNs - Anders Sandberg: http://youtu.be/v9Z8qNCOc0Q - George Dvorsky: http://www.youtube.com/watch?v=Gddz-o5T1Kc - David Orban: http://www.youtube.com/watch?v=Kip8563BUw8 - David Pearce: pt1 http://www.youtube.com/watch?v=HQm9JsCP7VU - pt2 http://www.youtube.com/watch?v=Gx3yNk4XUNY Google's Calico Announcement: https://plus.google.com/+LarryPage/posts/Lh8SKC6sED1 In today's TIME Tech Exclusive Google vs. Death, Larry Page announced Calico, a new Google firm focusing on the challenges of healthcare, aging and associated diseases. "Illness and aging affect all our families. With some longer term, moonshot thinking around healthcare and biotechnology, I believe we can improve millions of lives," said Larry. Arthur D. Levinson, Chairman and former CEO of Genentech, Chairman of Apple, and director of Hoffmann-La Roche, will be CEO and a founding investor. "We focus on early-stage, proof-of-concept research as a non-profit here at SENS Research Foundation. That sort of work is appealing to only the most visionary of investors in the for-profit world. But the ultimate goal of Peter Thiel and our other early supporters has always been to kickstart real anti-aging industry, so it's very important news." said Mike Kope, CEO of SENS Research Foundation. "I applaud the vision of Google in choosing to devote their energies toward solving the problems of age-related disease, and warmly welcome Art Levinson to this new initiative." After speaking at a Google Tech Talk in Mountain View last month, SENS Research Foundation co-founder and CSO Aubrey de Grey was asked to opine on the news in a response at TIME, also published today. "The 'beginning of the beginning' of the war on aging began in the 1990s. Since then, the battle for hearts and minds as to that quest's feasibility has been proceeding at full tilt. With Google's decision to direct its resources toward aging, that battle may have been transcended. The curmudgeons no longer matter," said Aubrey. "It's no exaggeration to state that the end of the beginning may have arrived. I won't go so far as to say that my crusading job is done, but for sure it just got a whole lot easier." Why Fight Aging? : http://www.acceleratingfuture.com/people-blog/2008/why-fight-aging/
How to Scrape Data From the Web Using Google Spreadsheet
 
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How to Scrape Data From the Web Using Google Spreadsheet
Views: 133089 gu_productions
Introduction to Data Mining: Basic Data Types
 
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Continuing with data fundamentals, we introduce you to the three data set types, Record, Ordered, and Graph. -- At Data Science Dojo, we're extremely passionate about data science. Our in-person data science training has been attended by more than 3500+ employees from over 700 companies globally, including many leaders in tech like Microsoft, Apple, and Facebook. -- Learn more about Data Science Dojo here: https://hubs.ly/H0f8Lkc0 See what our past attendees are saying here: https://hubs.ly/H0f8Lkk0 -- Like Us: https://www.facebook.com/datascienced... Follow Us: https://plus.google.com/+Datasciencedojo Connect with Us: https://www.linkedin.com/company/data... Also find us on: Google +: https://plus.google.com/+Datasciencedojo Instagram: https://www.instagram.com/data_scienc... Vimeo: https://vimeo.com/datasciencedojo
Views: 8861 Data Science Dojo

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