Starred articles are candidates for the picture of the week. A comprehensive list of all past resources is found here. We are in the process of automatically categorizing them using indexation and automated tagging algorithms.


  1. A Bayesian Model to Calculate Whether My Wife is Pregnant or Not 
  2. Interpolation and smoothing functions in base R 
  3. Tools in the data armoury: R vs Spark 
  4. Best Big Data, Data Science, Data Mining, and Machine Learning podc... 
  5. An Introduction to Linear Models for Data Science 
  6. Statistics for Hackers 
  7. Apache Spark - Executive Summary 
  8. Random vs non-random: How to Tell the Difference 
  9. A Visual Survey of Visualization Techniques for Time-Oriented Data **
  10. Top 20 Python Machine Learning Open Source Projects 
  11. Identifying paid content (native advertising) from unpaid content 
  12. 100 open source Big Data architecture papers for data professionals 

Source: article #3, below


  1. 10 Examples of Captivating Data Visualization **
  2. Intelligent Applications (iA) – A primer 
  3. Big Data – Not the mystical talisman in IA **
  4. Getting Insights Using Data Science Skills and the Scientific Method 
  5. The Algorithm Economy 
  6. A Data Scientist… Who, Me?! 
  7. The State of Artificial Intelligence in Six Visuals 
  8. Automating big-data analysis 
  9. How Ford Is Using Big Data To Change The Way We Use Our Cars 
  10. Mapping how the United States generates its electricity **
  11. How Dataviz Can Unintentionally Perpetuate Inequality **
  12. The evolving infographic: here comes the GIFographic **
  13. Massive innovations in data science yet to come 
  14. Why Tracy-Widom Mysterious Statistical Law so common? 
  15. How Alteryx Allowed Me To Fix Problems in A Customer-Created Database **
  16. Data scientists are not created equal 
  17. Internet of Things: The Missing Pieces 
  18. Hiring Data Scientists: What to look for? 
  19. Nate Silver: ‘Big Data has Peaked, and that’s a Good Thing’ 

Check out our previous selection of articles.

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