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Most Viewed, Nov 24 - Dec 1

  1. new How to Speed up Pandas by 4x with one line of code, by George Seif
  2. new The Future of Careers in Data Science & Analysis, by Frankie Wallace
  3. new Can Neural Networks Develop Attention? Google Thinks they Can
  4. new Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
  5. decrease How to select rows and columns in Pandas using [ ], .loc, iloc, .at and .iat
  6. new Task-based effectiveness of basic visualizations
  7. new 10 Free Must-read Books on AI

Most Shared, Nov 24 - Dec 1

  1. Open Source Projects by Google, Uber and Facebook for Data Science and AI, by Asel Mendis - Nov 28, 2019.
  2. Getting Started with Automated Text Summarization, by Matthew Mayo - Nov 28, 2019.
  3. A Doomed Marriage of Machine Learning and Agile - Nov 28, 2019.
  4. The Future of Careers in Data Science & Analysis - Nov 27, 2019.
  5. Can Neural Networks Develop Attention? Google Thinks they Can - Nov 25, 2019.
  6. Machine Learning 101: The What, Why, and How of Weighting - Nov 26, 2019.
  7. Top 8 Data Science Use Cases in Marketing - Nov 25, 2019.

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