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Top Stories, Mar 6-12: What Makes a Good Data Science Visualization; A Ridiculously Specific Guide to Getting a Data Science Job


What makes a good data visualization - a Data Scientist perspective; How to Get a Data Science Job: A Ridiculously Specific Guide; Visualizing Time-Series Change; Working With Numpy Matrices: A Handy First Reference; Beginner’s Guide to Customer Segmentation



Most Popular Last Week

  1. increase The 10 Algorithms Machine Learning Engineers Need to Know, by James Le
  2. new 7 More Steps to Mastering Machine Learning With Python, by Matthew Mayo
  3. new Gartner 2017 Magic Quadrant for Data Science Platforms: gainers and losers
  4. new Hi, I'm a data scientist How to Get a Data Science Job: A Ridiculously Specific Guide
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  1. Bad viz What makes a good data visualization – a Data Scientist perspective, by Gregory Piatetsky - Mar 08, 2017.
  2. How to Get a Data Science Job: A Ridiculously Specific Guide, by Brandon Rohrer - Mar 07, 2017.
  3. Visualizing Time-Series Change - Mar 09, 2017.
  4. Working With Numpy Matrices: A Handy First Reference - Mar 10, 2017.
  5. Top /r/MachineLearning Posts, February: Oxford Deep NLP Course; Data Visualization for Scikit-learn Results - Mar 06, 2017.
  6. Beginner’s Guide to Customer Segmentation - Mar 09, 2017.
  7. Neuroscience for Data Scientists: Understanding Human Behaviour - Mar 08, 2017.

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  5. decrease The Most Popular Language For Machine Learning and Data Science Is...
  6. new An Overview of Python Deep Learning Frameworks
  7. decrease 5 Career Paths in Big Data and Data Science, Explained

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  1. An Overview of Python Deep Learning Frameworks - Feb 27, 2017.
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  4. The Anatomy of Deep Learning Frameworks - Feb 24, 2017.
  5. 17 More Must-Know Data Science Interview Questions and Answers - Feb 15, 2017.
  6. Removing Outliers Using Standard Deviation in Python - Feb 16, 2017.
  7. The Data Science Project Playbook - Mar 01, 2017.