Top Stories, Mar 6-12: What Makes a Good Data Science Visualization; A Ridiculously Specific Guide to Getting a Data Science Job
Previous post
Tags: Top stories
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
-
The 10 Algorithms Machine Learning Engineers Need to Know, by James Le
-
7 More Steps to Mastering Machine Learning With Python, by Matthew Mayo
- Gartner 2017 Magic Quadrant for Data Science Platforms: gainers and losers
-
How to Get a Data Science Job: A Ridiculously Specific Guide
- Every Intro to Data Science Course on the Internet, Ranked
- An Overview of Python Deep Learning Frameworks
- Best Data Science Courses from Udemy (only $19 till Mar 31)
Most Shared Last Week
-
What makes a good data visualization – a Data Scientist perspective, by Gregory Piatetsky - Mar 08, 2017.
- How to Get a Data Science Job: A Ridiculously Specific Guide, by Brandon Rohrer - Mar 07, 2017.
- Visualizing Time-Series Change - Mar 09, 2017.
- Working With Numpy Matrices: A Handy First Reference - Mar 10, 2017.
- Top /r/MachineLearning Posts, February: Oxford Deep NLP Course; Data Visualization for Scikit-learn Results - Mar 06, 2017.
- Beginner’s Guide to Customer Segmentation - Mar 09, 2017.
- Neuroscience for Data Scientists: Understanding Human Behaviour - Mar 08, 2017.
Most Popular Past 30 Days
- The 10 Algorithms Machine Learning Engineers Need to Know
- 17 More Must-Know Data Science Interview Questions and Answers
- 7 More Steps to Mastering Machine Learning With Python
- Gartner 2017 Magic Quadrant for Data Science Platforms: gainers and losers
-
The Most Popular Language For Machine Learning and Data Science Is...
- An Overview of Python Deep Learning Frameworks
- 5 Career Paths in Big Data and Data Science, Explained
Most Shared Past 30 Days
- An Overview of Python Deep Learning Frameworks - Feb 27, 2017.
- Gartner 2017 Magic Quadrant for Data Science Platforms: gainers and losers - Feb 23, 2017.
- 7 More Steps to Mastering Machine Learning With Python - Mar 01, 2017.
- The Anatomy of Deep Learning Frameworks - Feb 24, 2017.
- 17 More Must-Know Data Science Interview Questions and Answers - Feb 15, 2017.
- Removing Outliers Using Standard Deviation in Python - Feb 16, 2017.
- The Data Science Project Playbook - Mar 01, 2017.