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Top Stories, Jan 1-7: Docker for Data Science; Quantum Machine Learning: An Overview


Also: Computer Vision by Andrew Ng – 11 Lessons Learned; How to build a Successful Advanced Analytics Department; Docker for Data Science; Top 10 Machine Learning Algorithms for Beginners



Most Popular Last Week

  1. new Docker for Data Science, by Sachin Abeywardana
  2. increase Top 10 Machine Learning Algorithms for Beginners, by Reena Shaw
  3. new Maths How Much Mathematics Does an IT Engineer Need to Learn to Get Into Data Science?
  4. new Computer Vision by Andrew Ng - 11 Lessons Learned
  5. increase The 10 Statistical Techniques Data Scientists Need to Master
  6. new How to build a Successful Advanced Analytics Department
  7. new Quantum Machine Learning: An Overview

Most Shared Last Week

  1. Quantum Machine Learning: An Overview, by Reena Shaw - Jan 05, 2018.
  2. Docker for data science Docker for Data Science, by Sachin Abeywardana - Jan 02, 2018.
  3. Top KDnuggets tweets, Dec 27 – Jan 02: 10 Free Must-Read Books for #MachineLearning and #DataScience - Jan 03, 2018.
  4. Top Stories, Dec 18-31: How Much Mathematics Does an IT Engineer Need to Learn to Get Into Data Science?; Computer Vision by Andrew Ng – 11 Lessons Learned - Jan 03, 2018.
  5. How to build a Successful Advanced Analytics Department - Jan 04, 2018.
  6. 10 Tools to Help You Learn R - Jan 04, 2018.
  7. Why understanding of truth important in Data Science? - Jan 01, 2018.

Most Popular Past 30 Days

  1. decrease Top 10 Machine Learning Algorithms for Beginners
  2. new Computer Vision by Andrew Ng - 11 Lessons Learned
  3. new How Much Mathematics Does an IT Engineer Need to Learn to Get Into Data Science?
  4. decrease The 10 Statistical Techniques Data Scientists Need to Master
  5. new Top Data Science and Machine Learning Methods Used in 2017
  6. new Can I Become a Data Scientist: Research into 1,001 Data Scientist Profiles
  7. new Docker for Data Science

Most Shared Past 30 Days

  1. Data Science, Machine Learning: Main Developments in 2017 and Key Trends in 2018 - Dec 12, 2017.
  2. How Much Mathematics Does an IT Engineer Need to Learn to Get Into Data Science? - Dec 20, 2017.
  3. Machine Learning & Artificial Intelligence: Main Developments in 2017 and Key Trends in 2018 - Dec 15, 2017.
  4. Computer Vision by Andrew Ng - 11 Lessons Learned - Dec 22, 2017.
  5. Xavier Amatriain’s Machine Learning and Artificial Intelligence Year-end Roundup - Dec 14, 2017.
  6. 70 Amazing Free Data Sources You Should Know - Dec 20, 2017.
  7. Industry Predictions: Main AI, Big Data, Data Science Developments in 2017 and Trends for 2018 - Dec 19, 2017.

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