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 Scientist; Top 10 Videos on Deep Learning in Python; 8 Ways to Improve Your 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.

More On This Topic

Get the FREE collection of 50+ data science cheatsheets and the leading newsletter on AI, Data Science, and Machine Learning, straight to your inbox.

By subscribing you accept KDnuggets Privacy Policy




Top Posts Past 30 Days

  1. Machine Learning Algorithms Explained in Less Than 1 Minute Each
  2. Free Python Automation Course
  3. Free Python Crash Course
  4. 12 Essential VSCode Extensions for Data Science
  5. Decision Tree Algorithm, Explained
  6. Linear Algebra for Data Science
  7. Parallel Processing Large File in Python
  8. 15 Python Coding Interview Questions You Must Know For Data Science
  9. Top Programming Languages and Their Uses
  10. Naive Bayes Algorithm: Everything You Need to Know
KDnuggets Home » News » 2017 » Nov » Top Stories, Tweets » 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

Get the FREE collection of 50+ data science cheatsheets and the leading newsletter on AI, Data Science, and Machine Learning, straight to your inbox.

By subscribing you accept KDnuggets Privacy Policy

Get the FREE collection of 50+ data science cheatsheets and the leading newsletter on AI, Data Science, and Machine Learning, straight to your inbox.

By subscribing you accept KDnuggets Privacy Policy