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Most Viewed, Nov 4-10

  1. new Free books 10 Free Must-read Books on AI, by Matthew Dearing
  2. new Facebook Has Been Quietly Open Sourcing Some Amazing Deep Learning Capabilities for PyTorch, by Jesus Rodriguez
  3. new 5 Statistical Traps Data Scientists Should Avoid
  4. new How to Become a (Good) Data Scientist — Beginner Guide
  5. new Everything a Data Scientist Should Know About Data Management
  6. decrease How to select rows and columns in Pandas using [ ], .loc, iloc, .at and .iat
  7. new Orchestrating Dynamic Reports in Python and R with Rmd Files

Most Shared, Nov 4-10

  1. 10 Free Must-read Books on AI, by Matthew Dearing - Nov 05, 2019.
  2. Understanding Boxplots, by Michael Galarnyk - Nov 08, 2019.
  3. Probability Learning: Maximum Likelihood - Nov 05, 2019.
  4. Designing Your Neural Networks - Nov 04, 2019.
  5. Facebook Has Been Quietly Open Sourcing Some Amazing Deep Learning Capabilities for PyTorch - Nov 04, 2019.
  6. Customer Segmentation Using K Means Clustering - Nov 04, 2019.
  7. How to Create a Vocabulary for NLP Tasks in Python - Nov 07, 2019.

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