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Top April Stories: 10 Free Must-Read Books for Machine Learning and Data Science


 
 
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Also Forrester vs Gartner on Data Science Platforms; Top 20 Recent Research Papers on Machine Learning and Deep Learning.



For the month of April, we also recognize the most popular posts and blogger based on unique page views (UPV) and social shares.

Platinum Blog, Apr 2017Most Viewed and Most Shared - Platinum Badge
(>20,000 UPV AND >2,000 shares)

  1. 10 Free Must-Read Books for Machine Learning and Data Science, by Matthew Mayo


Gold Blog, Apr 2017Most Viewed - Gold Badges (>10,000 UPV)

  1. Forrester vs Gartner on Data Science Platforms and Machine Learning Solutions, by Gregory Piatetsky
  2. Top 20 Recent Research Papers on Machine Learning and Deep Learning, by Thuy Pham


Silver Blog, Apr 2017Most Viewed - Silver Badges (>5,000 unique PV)

  1. Awesome Deep Learning: Most Cited Deep Learning Papers, by Terry Taewoong Um
  2. 5 Machine Learning Projects You Can No Longer Overlook, April, by Matthew Mayo
  3. Keep it simple! How to understand Gradient Descent algorithm, by Jahnavi Mahanta
  4. Top mistakes data scientists make when dealing with business people, by Karolis Urbonas (new)
  5. New Online Data Science Tracks for 2017, by Brendan Martin (new)
  6. Cartoon: Machine Learning - What They Think I Do, by Harrison Kinsley
  7. Data Science for the Layman (No Math Added), Annalyn Ng and Kenneth Soo


Gold Blog, Apr 2017Most Shared - Gold Badges (>1,000 shares)

  1. Forrester vs Gartner on Data Science Platforms and Machine Learning Solutions, by Gregory Piatetsky
  2. Top 20 Recent Research Papers on Machine Learning and Deep Learning, by Thuy Pham
  3. Top mistakes data scientists make when dealing with business people, by Karolis Urbonas (new)
  4. Awesome Deep Learning: Most Cited Deep Learning Papers, by Terry Taewoong Um


Silver Blog, Apr 2017Most Shared - Silver Gold Badges (>500 shares)

  1. Keep it simple! How to understand Gradient Descent algorithm
  2. A Brief History of Artificial Intelligence, By Francesco Corea
  3. The 42 V's of Big Data and Data Science, by Tom Shafer (new)
  4. Data Science for the Layman (No Math Added)
  5. Deep Stubborn Networks - A Breakthrough Advance Towards Adversarial Machine Intelligence, by Matthew Mayo (new)
  6. Cartoon: Machine Learning - What They Think I Do