The full version is always published Monday. Starred articles are new additions or updated content, posted between Thursday and Sunday.

Announcements

• Webinar: Flipping the 80/20 Rule for Analytics - Hear how Teradata helps businesses flip the 80/20 model so they can spend only 20% preparing and organizing data and 80% on the analytics, accelerating time to value.  Learn to reduce the friction of data preparation and apply machine-learning techniques such as sentiment, text, path, and graph analytics. Register to attend.

Featured

• How Apple Uses Big Data To Drive Success * - By Bernard Marr
• Data Integrity: The Rest of the Story (Part II) *
• Are you smart enough to work at Google? *
• 10 Python Machine Learning Projects on GitHub *
• 9 Python Analytics Libraries *
• Big Data: Uncovering The Secrets of Our Universe At CERN * - By Bernard Marr
• Four successful big data / analytics startups in Seattle *
• Measuring Information Retrieval Performance Using Extrapolated Prec...*
• Failing with a purpose (Morning Analytics Coffee Blog) *
• 100 Best Data Science Companies to Work for in 2015 
• How Do I Become a Data Scientist? 
• The Handbook Of Data science 
• Self-learning Machines & Deep Convolutional Neural Networks Cla... 
• Morning Analytic Coffee Blog 
• Statistics about the #Spark community 
• Hadoop – Whose to Choose 
• An Introduction to Deep Learning and it’s role for IoT/ future cities 
• Data science to understand and fight cancer +
• Web Crawling & Analytics Case Study - Database Vs Self Hosted M... 
• Machine Learning Resources for Spam Detection 
• Data Science and its problems 
• UV and Sun exposure good to protect you against skin cancer, says d... 
• The Institutional Response 

News, Events, Books, Training, Forum Questions

• Python (and R) for Data Science - sample code, libraries, projects,...*
• New textbook on data mining *
• Flipping the 80/20 Rule for Analytics * - Teradata Webinar
• Data Science Central’s Upcoming Educational Webinar Series *
• Question: Forecasting Digital Wallet Market in the US *
• Speed up big data queries by up to 1000x with Pivotal HAWQ *
• 5-Day Hands-On Data Science & Engineering Bootcamp *
• Predictive Analytics Demystified - IBM Video
• Question: About pattern recognition to solve deadly Amtrak crash 
• Question: How to determine the optimum number of variables? 
• The power of IBM SPSS Statistics and R together - White Paper 
• Whitepaper: The Power of R and Visual Analytics  
• Building a Predictive Analytics Solution with Azure ML 
• What Defines a Big Data Scenario? - Infographics
• Event: Intro to Apache Ignite & Semi-supervised Learning 
• Big Data Innovation Summit 
• Discover data-led innovation at Big Data Analytics 2015 
• Predictive Analytics World Boston 2015 
• Big Data Bootcamp - August 28 to 30, Austin 
• Big Data Developer Conference - August 17 to 19, Seattle 
• Rosslyn Analytics Pioneers Analytics-as-a-Service on Microsoft Azure 

Picture of the Week

Source for picture: see featured article marked with +

On DSC Channels

• An indispensable Python : Data sourcing to Data science 
• The Data Science Ecosystem in One Tidy Infographic 
• Digesting Big Data 
• Understanding the nature of IoT data 
• Big Data: From a junk yard to a gold mine 
• Building blocks of data science 
• Hadoop is Dead. DataFlow is Alive! 
• Contradictions of Big Data 

Quote of the Week:  

Unlike statistics, data science tends to use algorithms rather than models, to make predictions, even to compute confidence intervals.

Links 

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