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Search results “Google data mining”
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 on Amazon--- 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 DISCLOSURES: All Genius links are tied to our Amazon Associate account, from which we earn a small sales commission. Links containing a 'bit.ly' reference forwarding to Newegg are tied to our CJ account, from which we earn a small sales commission. All sponsored links and comments will contain the word "SPONSOR" or "AD." Any additional revenue stream will be disclosed with similar verbiage.
Views: 13300 Science Studio
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: 29862 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: 208102 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: 71570 Google Cloud Platform
Amazon, Google Data Mining Is Bad for Consumers, Betaworks CEO Says
 
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Feb.12 -- Google and Amazon are demanding a continuous stream of customer information from smart-home manufacturers, prompting privacy concerns. Bloomberg's Matt Day and John Borthwick, chief executive officer of Betaworks, discuss on "Bloomberg Technology."
Views: 1769 Bloomberg Technology
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: 10467 Roshan
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: 1674 Analytics University
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: 6130 Giorgio Taverniti
Data Miner 4.0
 
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A quick look at the new Data Miner update. To learn more about Data Miner and download the tool, please visit the following link: https://chrome.google.com/webstore/detail/data-scraper-easy-web-scr/nndknepjnldbdbepjfgmncbggmopgden
Views: 33586 Data Miner
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: 3336 G Suite
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: 5110 Dinesh Kumar Takyar
Privacy Preserving DataMining
 
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Google TechTalks July 28, 2006 Matthew Roughan joined the School of Applied Mathematics at the University of Adelaide in February 2004, where he is interested in the area of design, and installation of Internet measurement equipment, and the analysis and modeling of Internet measurement data. ABSTRACT The rapid growth of the Internet over the last decade has been startling. However, efforts to track its growth have often fallen afoul of bad data --- for instance, how much traffic does the Internet now carry? The problem is not that the data is technically hard to obtain, or that it does not exist, but rather that the data is not shared. Obtaining an overall picture requires data from multiple sources, few of whom are open to sharing such data, either because it violates privacy legislation, or exposes business secrets. The approaches used so far in the Internet, e.g., trusted third parties, or data anonymization, have been only partially successful, and are not widely adopted. The paper presents a method for performing computations on shared data without any participants revealing their secret data. For example, one can compute the sum of traffic over a set of service providers without any service provider learning the traffic of another. The method is simple, scalable, and flexible enough to perform a wide range of valuable operations on Internet data. Google engEDU
Views: 3642 GoogleTalksArchive
Raytheon's Riot Program Mines Social Network Data Like a Google for Spies
 
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02/10//2013 A multinational security firm has secretly developed software capable of tracking people's movements and predicting future behaviour by mining data from social networking websites. A video obtained by the Guardian reveals how an "extreme-scale analytics" system created by Raytheon, the world's fifth largest defence contractor, can gather vast amounts of information about people from websites including Facebook, Twitter and Foursquare. More: http://leaksource.wordpress.com/2013/02/10/raytheons-riot-program-mines-social-network-data-like-a-google-for-spies/ http://twitter.com/LeakSourceNews
Views: 33143 LeakSourceNews
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 LinkedIn: https://goo.gl/skdLCR #LifeAtGoogle
Views: 29312 Life at Google
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: 15505 Measureschool
Web Scraper | Web Scraping using web scraper chrome extension | web scraper tutorial | Data Scraper
 
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Web Scraper | Web Scraping using web scraper chrome extension | web scraper tutorial | Data Scraper If you need Web Scraping, Lead Generation, Data Collection & Data Entry Services with the Affordable Price Please contact me at:: [email protected] | Skype:: alaminbabu | WhatsApp + IMO + Viber :: +8801772221040 Or 01772221040 In this video, I will show Web Scraping Tutorial | Complete Web Scraper Tutorial | Web Scraping Using Google Chrome Scraper In this you will learn how to scrape data from the web using Google Chrome Scraper. If you like this video, please share this video to your Facebook, Google Plus and Twitter For getting any web scraping services, Please contact me.
Views: 74781 Web Scraping Service
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: 172 mulhollanddose
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: 7987 Talks at Google
What's the End Game for Google's Data Mining
 
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http://www.hidewithdave.com Protect Your Data From Big Data
Data Mining 02 Google Drive
 
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Data Mining 02 Google Drive
Views: 562 GaryBoetticher
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: 2989 H2O.ai
7 Creepy Ways Companies Collect Data For Targeted Ads
 
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At this very moment, everything you are doing is being recorded. You are being watched by computer programs and cameras that are monitoring you everywhere you go, in ways the wildest conspiracy theorists wouldn’t have believed ten years ago. It’s worse than you think. You’re probably already aware that everything you do online is tracked, recorded, and sold to make better-targeted ads, but it goes way further than that. Companies in the business of selling your secrets are doing things that go way beyond 1984. You’re being monitored in ways Orwell never even imagined . Here are 7 Creepy Ways Companies Collect Data For Targeted Ads #Google #Facebook #Hacking
Views: 78516 Mind Boggler
How To Collect Data,Email Address  from Google Or Business Directory
 
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In Online Market Place you will get lots of task which is Related with data collect and email List Building.You can easy learn About how to collect Email address and Business Phone Number just view this video.
Views: 7239 Tuktuki
SAS Visual Data Mining and Machine Learning
 
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http://www.sas.com/vdmml Boost analytical productivity and solve your most complex problems faster with a single, integrated in-memory environment that's both open and scalable. SAS VISUAL DATA MINING AND MACHINE LEARNING SAS Visual Data Mining and Machine Learning supports the end-to-end data mining and machine-learning process with a comprehensive, visual (and programming) interface that handles all tasks in the analytical life cycle. It suits a variety of users and there is no application switching. From data management to model development and deployment, everyone works in the same, integrated environment. http://www.sas.com/vdmml SUBSCRIBE TO THE SAS SOFTWARE YOUTUBE CHANNEL http://www.youtube.com/subscription_center?add_user=sassoftware ABOUT SAS SAS is the leader in analytics. Through innovative analytics, business intelligence and data management software and services, SAS helps customers at more than 75,000 sites make better decisions faster. Since 1976, SAS has been giving customers around the world THE POWER TO KNOW®. VISIT SAS http://www.sas.com CONNECT WITH SAS SAS ► http://www.sas.com SAS Customer Support ► http://support.sas.com SAS Communities ► http://communities.sas.com Facebook ► https://www.facebook.com/SASsoftware Twitter ► https://www.twitter.com/SASsoftware LinkedIn ► http://www.linkedin.com/company/sas Google+ ► https://plus.google.com/+sassoftware Blogs ► http://blogs.sas.com RSS ►http://www.sas.com/rss
Views: 5172 SAS Software
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: 1974 Rod Czydel
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: 138434 gu_productions
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: 6255 the1dutchmaster
Page Rank Algorithm
 
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Big Data Analytics For more: http://www.anuradhabhatia.com
Views: 37850 Anuradha Bhatia
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: 2944104 Google Cloud Platform
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: 5977182 CollegeHumor
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/ Follow me on Twitter https://twitter.com/amunategui and signup to my newsletter: http://www.viralml.com/signup.html More on http://www.ViralML.com and https://amunategui.github.io Thanks!
Views: 22334 Manuel Amunategui
Download full web pages with Data Miner
 
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This video will quickly cover the process of downloading full web pages with the Data Miner tool. This is will capture text, images and any other page elements, without even needing a recipe for the site. Learn more: https://data-miner.io/features/download-pages Download Data Miner from the Chrome store: https://chrome.google.com/webstore/detail/data-scraper/nndknepjnldbdbepjfgmncbggmopgden Also, try our new tool Recipe Creator! Create your own custom recipes in minutes. Learn More here: data-miner.io/rc
Views: 9223 Data Miner
How To Measure Data With Google Analytics 2017 - Complete Tutorial Measuring Data Google Analytics
 
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How To Measure Data With Google Analytics 2017 - Complete Tutorial Measuring Data Google Analytics The webinar platform we are using today is ReadyTalk. We of course want you to feel free to ask any questions you might have and you can do so via the chat box. Your questions will be flagged and queued for us to answer later. If you happen to lose your connection you will be able to reconnect with the link emailed to you. If you lose your phone connection you can reconnect by re-dialing the phone number. You can also contact ReadyTalk support. This webinar will also be available on the TechSoup website where you can also find past webinars. These can also be found on YouTube. All these links and presentations will be sent to you via email a few days after the recording. The goals for this webinar are to increase your overall knowledge of Google Analytics Marketing, and also to provide a framework for using Google Analytics. We also want to help you to make a change in your organization. The main advantages of Google Analytics are that it is free and that every single codebase of a website can handle it. It is in short web analytics for and website you might have. Another great function is that it shows you what, where, how and when activities are happening on your website and it takes only 30 minutes to install it. So to get started you of course need to go through a checklist. First of all you need to check if everything is setup and Google Analytics is installed properly. Then you need to delegate someone in your firm the task of monitoring the data. You also need to decide if you want to have tiers of access or in other words if you will be selecting how much data can a specific employee see. The next step is to define your goals and then set up your webmaster tools. Last but not least you need to have your Google AdWords connected along with the dashboards. There needs to be a logic model to your website and it revolves around the input, output and outcome. The input is basically what you will invest in your website so that is usually free PDFs, photos or classes. The output is what you benefit from investing so downloads, pageviews and signups. Google analytics are sometimes hard to get explained so we decided to make this Google Analytics Tutorial 2015. It covers comprehensive Google Analytics Explanation in this Google Analytics video. It is great to know for SEO or Search Engine Optimization and Marketing for your marketing company that is powered by search. It is very important to have an understanding of Google Analytics which you will of course get with ths Google Analytics Tutorial. This Google Analytics Series and also playlist will give you an insight in Live Website Analysis by an Expert web strategist. It will also help you make one step further in becoming an Expert in web strategy and analysis. You will be able to give any Website a review and give owners Expert web advice. The knowledge is also useful in Electronic commerce industry which is why you need to Learn ecommerce. But most importantly you will be able to export google analytics data for your google analytics data model. It is important to know how to get a google analytics raw data report via the google analytics dashboard. Some might even call this process data mining or big data analytics and it requires business intelligence.
Views: 21789 Thomas Joslyn
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: 10735 Ben Camp
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: 18689 Craftive Dojo
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: 1012 UC Berkeley Events
Data Mining: How to Use Google Analytics to Prove ROI
 
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This is a 30 minute presentation that I gave to the University of Iowa E-Commerce Strategies undergraduate class this Fall. A group of 20-30 students attended, most of which are in the Tippie College of Business, majoring in Entrepreneurship to obtain their B.B.A. My main objective was to touch on 3 points: 1. The importance of data mining 2. Best practices of Google Analytics 3. Presenting conclusions to find better ROI Side note: I did not upload the last 30 minutes of my presentation where I finished up discussing how to use social media to data mine. Perhaps that will be my next topic! -Cheers- Paul Kleen Social Media and Search Engine Marketing Strategist
Views: 879 Paul Kleen
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. Google engEDU Speaker: David Mease
Views: 2845 GoogleTalksArchive
Demo - Using REST Source to Get Data from Google Analytics
 
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Learn more about Task Factory and download a free trial: http://success.pragmaticworks.com/try-task-factory Pragmatic Works Task Factory REST Source helps pull the data you need from Google Analytics. Use REST Source to create dashboards and reports on the data.
Views: 7059 Pragmatic Works
PageRank Algorithm - Example
 
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Full Numerical Methods Course: http://bit.ly/numerical-methods-java FREE Beginner Java Course: http://bit.ly/2rMkyxN
Views: 67438 Balazs Holczer
Getting Started with Weka - Machine Learning Recipes #10
 
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Hey everyone! In this video, I’ll walk you through using Weka - The very first machine learning library I’ve ever tried. What’s great is that Weka comes with a GUI that makes it easy to visualize your datasets, and train and evaluate different classifiers. I’ll give you a quick walkthrough of the tool, from installation all the way to running experiments, and show you some of what it can do. This is a helpful library to have while you’re learning ML, and I still find it useful today to experiment with new datasets. Note: In the video, I quickly went through testing. This is an important topic in ML, and how you design and evaluate your experiments is even more important than the classifier you use. Although I publish these videos at turtle speed, I’ve started working on an experimental design one, and that’ll be next! Also, we will soon publish some testing tips and best practices on tensorflow.org (https://goo.gl/nZcS5R). Links from the video: Weka → https://goo.gl/2TYjGZ Ready to use datasets → https://goo.gl/PM8DtH More on evaluating classifiers, particularly in the medical domain → https://goo.gl/TwTYyk Check out the Machine Learning Recipes playlist → https://goo.gl/KewA03 Follow Josh on Twitter → https://twitter.com/random_forests Subscribe to the Google Developers channel → http://goo.gl/mQyv5L
Views: 69527 Google Developers
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...
Views: 4698 Google
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/
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: 1517 Jeffalytics
How to write email subject lines, Google Data Mining, and Disney's animation iPad app
 
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full blog post: http://www.ramblinjackson.com/2013/08/23/write-email-subject-lines-google-data-mining-disneys-animation-ipad-app/ http://www.ramblinjackson.com | Ramblin Jackson a social media + video marketing agency in Boulder, CO | 303.544.2125 Welcome to the 98th Feature of Friday's Informal Films! Oh, hi and welcome to the 98th edition of Friday's Informal Films! 98 is the number given one of Microsoft's popular versions of Windows, but the initial demo was a blue-screened disaster. Do you remember this amusing moment? [ROLL VIDEO: http://www.youtube.com/watch?v=eKtGXPfabLQ] Well that was embarrassing, but we all make mistakes. Just last week I accidentally sent out our Friday email with the same subject line as the previous week... but I know that you opened it anyway. Does privacy exist online? Email privacy is big news these days, with one certain government agency recently acknowledging they've been monitoring many people's emails for months. Now, adding to the email privacy story is controversy concerning the world's largest email provider. A California-based advocacy group called Consumer Watchdog this week highlighted an interesting claim emanating from Google - owner of Gmail - with which it's doing battle over data mining. The lawsuit concerns the fact that Google scans Gmail emails for keywords, so it can better target ads at users. Many of the plaintiffs in the class action suit are Gmail users, and Google's argument is that they agreed to its terms when they signed up. But what about users of other email providers who just send a message to a Gmail user? Well, Google scans them too, but doesn't see it as a problem. In a motion to dismiss the Consumer Watchdog-initiated class action lawsuit against it, Google's lawyers stated "While the non-Gmail Plaintiffs are not bound to Google's contractual terms, they nonetheless impliedly consent to Google's practices by virtue of the fact that all users of email must necessarily expect that their emails will be subject to automated processing." Or in simpler terms, "Just as a sender of a letter to a business colleague cannot be surprised that the recipient's assistant opens the letter, people who use web-based email today cannot be surprised if their communications are processed by the recipient's [email] provider in the course of delivery." What does "email privacy" mean to you? So, what do you think about this? Did you know that your personal or business emails are likely scanned in order to target advertising to your interests? Are you concerned for your online privacy? Let us know! Become a Disney Animator with your iPad! Have you ever dreamed of being a Disney animator? Or maybe you've just been curious about how the whole process of animation works. Well a new iPad app from Magic Kingdom lets you in on a bit of the magic! According to Disney's website, the "Animated" app bring animation to life. Dozens of their top animators, artists, technicians, and designers contributed to creating the app which offers a unique hands-on experience. Material is included from all eras of Walt Disney Animation Studios: beginning with 1937's "Snow White and the Seven Dwarfs" and continuing through an exclusive first look at concept art, animation tests, and visual effects from the upcoming film "Frozen." Of course, you have to be willing to spend $14 to get it, but if you know someone interested in Disney animation, it looks to be a good buy. If you'd like to learn more about this, check out show notes for the link! Promo page: http://games.disney.com/disney-animated-app?cmp=VANITY|wmw|Launch|all|AnimateVanity||080213|vanity|animated|synergyBrand|Synergy|DFAM| App trailer: http://www.youtube.com/watch?v=3Cn0OpH9yyA ProTip: Use the 2x2x2 in your Subject Lines! This week's pro tip is to use the 2 2 2 principle when writing your email subject lines. VO: If you want people to actually open your emails, remember that you have: 2 seconds 2 words to tell me "why does this matter to me today?" Why does "August newsletter" matter to me at all today? It doesn't. So get to work on that subject line... today. Come to our upcoming marketing workshop with the Boulder Chamber! Join us next Tuesday for the Power of Email Marketing at the Boulder Chamber of Commerce's brown bag lunch on August 27th at the Chamber Center. See our show notes for details or register online at ramblinjackson.com/events. August 27th at the Boulder Chamber of Commerce's Brown Bag Lunch. http://boulder.chambermaster.com/Events/details/ramblin-jackson-presents-4495
Views: 1028 Ramblin Jackson
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: 25444 GoogleTechTalks
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: 4597 GoogleTalksArchive
Statistical Aspects of Data Mining (Stats 202) Day 7
 
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Google Tech Talks July 17, 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. Google engEDU Speaker: David Mease
Views: 1607 GoogleTalksArchive
Statistical Aspects of Data Mining (Stats 202) Day 2
 
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Google Tech Talks June 29, 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. Google engEDU Speaker: David Mease
Views: 1416 GoogleTalksArchive