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Top stories, Apr 24-30: How to Remove Duplicates in Large Datasets; The “Thinking” Part of “Thinking Like A Data Scientist”


7 Steps to Mastering Machine Learning With Python; When Does Deep Learning Work Better Than SVMs or Random Forests; How to Remove Duplicates in Large Datasets; The "Thinking" Part of "Thinking Like A Data Scientist".



Most Viewed, Apr 24-30

  1. 7 Steps to Mastering Machine Learning With Python
  2. up20 Deep Learning ArchitectureWhen Does Deep Learning Work Better Than SVMs or Random Forests?
  3. up2 R vs Python for Data Science: The Winner is ...
  4. TensorFlow Disappoints - Google Deep Learning falls shallow
  5. up2 21 Must-Know Data Science Interview Questions and Answers
  6. dn2 Top 10 Data Analysis Tools for Business
  7. dn6 Comprehensive Guide to Learning Python for Data Analysis and Data Science

For most viewed stories above, dn indicates post unique views went down, and up: post views went up. Larger triangle indicates larger change.

Apr 24-30 Most Shared

  1. How to Remove Duplicates in Large Datasets - Apr 27, 2016.
  2. Thinking partThe "Thinking" Part of "Thinking Like A Data Scientist" - Apr 26, 2016.
  3. Microsoft is Becoming M(ai)crosoft - Apr 25, 2016.
  4. Positioning a Machine Learning Company - Apr 28, 2016.
  5. Three Pitfalls to Avoid When Building Data Science Into Your Business - Apr 27, 2016.
  6. Deep Learning in Neural Networks: An Overview - Apr 26, 2016.
  7. Dealing with Unbalanced Classes, SVMs, Random Forests, and Decision Trees in Python - Apr 29, 2016.

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