Top Stories, Nov 13-19: The 10 Statistical Techniques Data Scientists Need to Master; Best Online Masters in Data Science and Analytics – a comprehensive, unbiased survey

Also: A Day in the Life of a __data Science Skills in 2 Years; Machine Learning Algorithms: Which One to Choose for Your Problem; Top 10 Machine Learning Algorithms for Beginners

Most Popular Last Week

  1. new
    DS Masters survey
    Best Online Masters in data Science and Analytics - a comprehensive, unbiased survey, by Gregory Piatetsky
  2. increase
    Top 10 Machine Learning Algorithms for Beginners, by Reena Shaw
  3. new
    A Day in the Life of a data Scientist
  4. new
    The 10 Statistical Techniques data Scientists Need to Master
  5. new
    6 Books Every data Scientist Should Keep Nearby
  6. new
    Top 10 Videos on Deep Learning in Python
  7. new
    Machine Learning Algorithms: Which One to Choose for Your Problem

Most Shared Last Week

  1. Sampling methods
    The 10 Statistical Techniques data Scientists Need to Master, by James Le - Nov 15, 2017.
  2. Machine Learning Algorithms: Which One to Choose for Your Problem, by Daniil Korbut - Nov 14, 2017.
  3. A Day in the Life of a data Scientist - Nov 13, 2017.
  4. Top 10 Videos on Deep Learning in Python - Nov 17, 2017.
  5. 8 Ways to Improve Your data Science Skills in 2 Years - Nov 17, 2017.
  6. PySpark SQL Cheat Sheet: Big data in Python - Nov 16, 2017.
  7. Extracting Tweets With R - Nov 14, 2017.

Most Popular Past 30 Days

  1. increase
    Top 10 Machine Learning Algorithms for Beginners
  2. decrease
    30 Essential data Science, Machine Learning & Deep Learning Cheat Sheets
  3. new
    6 Books Every data Scientist Should Keep Nearby
  4. new
    Advice For New and Junior data Scientists
  5. new
    When Will Demand for data Scientists/Machine Learning Experts Peak?
  6. decrease
    Want to Become a data Scientist? Read This Interview First
  7. decrease
    The 10 Algorithms Machine Learning Engineers Need to Know

Most Shared Past 30 Days

  1. 6 Books Every data Scientist Should Keep Nearby - Oct 31, 2017.
  2. Want to know how Deep Learning works? Heres a quick guide for everyone - Nov 03, 2017.
  3. Interpreting Machine Learning Models: An Overview - Nov 07, 2017.
  4. The 10 Statistical Techniques data Scientists Need to Master - Nov 15, 2017.
  5. Advice For New and Junior data Scientists - Nov 02, 2017.
  6. Machine Learning Algorithms: Which One to Choose for Your Problem - Nov 14, 2017.
  7. When Will Demand for data Scientists/Machine Learning Experts Peak? - Nov 07, 2017.