High Tales, Jan 13-19: Math for Programmers!; Choice Tree Algorithm, Defined


Most Common Final Week

  1. newMath!Math for Programmers!, by Manning Publications
  2. newDecision Tree Algorithm, Explained, by Nagesh Singh Chauhan
  3. newThe Book to Start You on Machine Learning
  4. newTop 5 must-have Data Science skills for 2020
  5. newIdiots Guide to Precision, Recall, and Confusion Matrix
  6. new10 Python Tips and Tricks You Should Learn Today
  7. increaseHow to select rows and columns in Pandas using [ ], .loc, iloc, .at and .iat

Most Shared Final Week

  1. Decision Tree Algorithm, Explained, by Nagesh Singh Chauhan – Jan 14, 2020.
  2. Top 9 Mobile Apps for Learning and Practicing Data Science, by Andrea Laura – Jan 17, 2020.
  3. Classify A Rare Event Using 5 Machine Learning Algorithms – Jan 15, 2020.
  4. The Future of Machine Learning – Jan 17, 2020.
  5. Handling Trees in Data Science Algorithmic Interview – Jan 16, 2020.
  6. Uber Creates Generative Teaching Networks to Better Train Deep Neural Networks – Jan 13, 2020.
  7. Graph Machine Learning Meets UX: An uncharted love affair – Jan 13, 2020.

Most Common Previous 30 Days

  1. newWhat is a Data Scientist Worth?
  2. increaseGoogle’s New Explainable AI Service
  3. newThe Book to Start You on Machine Learning
  4. newTop 5 must-have Data Science skills for 2020
  5. newHow To Ultralearn Data Science: summary, for those in a hurry
  6. newMath for Programmers!
  7. new10 Python Tips and Tricks You Should Learn Today

Most Shared Previous 30 Days

  1. The Book to Start You on Machine Learning – Jan 09, 2020.
  2. Google’s New Explainable AI Service – Dec 20, 2019.
  3. An Introductory Guide to NLP for Data Scientists with 7 Common Techniques – Jan 09, 2020.
  4. 7 Resources to Becoming a Data Engineer – Jan 07, 2020.
  5. What is a Data Scientist Worth? – Dec 23, 2019.
  6. Automated Machine Learning: How do teams work together on an AutoML project? – Jan 02, 2020.
  7. Let’s Build an Intelligent Chatbot – Dec 17, 2019.

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