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Most Viewed, Mar 11-17

  1. new Typical Who is a typical Data Scientist in 2019?, by Iliya Valchanov
  2. new The Pareto Principle for Data Scientists, by Pradeep Gulipalli
  3. new Another 10 Free Must-Read Books for Machine Learning and Data Science
  4. new My favorite mind-blowing Machine Learning/AI breakthroughs
  5. decrease 9 Must-have skills you need to become a Data Scientist, updated
  6. new Top R Packages for Data Cleaning
  7. new Building NLP Classifiers Cheaply With Transfer Learning and Weak Supervision


Most Shared, Mar 11-17

  1. Who is a typical Data Scientist in 2019?, by Iliya Valchanov - Mar 11, 2019.
  2. Pareto The Pareto Principle for Data Scientists, by Pradeep Gulipalli - Mar 11, 2019.
  3. Building NLP Classifiers Cheaply With Transfer Learning and Weak Supervision - Mar 15, 2019.
  4. My favorite mind-blowing Machine Learning/AI breakthroughs - Mar 14, 2019.
  5. The 7 Myths of Data Anonymisation - Mar 12, 2019.
  6. Top R Packages for Data Cleaning - Mar 15, 2019.
  7. Securing your future in big data - Mar 12, 2019.


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