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Top December Stories: 50+ Data Science, Machine Learning Cheat Sheets; Machine Learning/AI: Main 2016 Developments, Key 2017 Trends


Also Why Deep Learning is Radically Different From Machine Learning; Bayesian Basics, Explained



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  1. Cheat Sheets50+ Data Science, Machine Learning Cheat Sheets, updated, by Thuy T. Pham
  2. Why Deep Learning is Radically Different From Machine Learning, by Carlos Perez
  3. Bayesian Basics, Explained, by Kevin Gray
  4. Machine Learning & Artificial Intelligence: Main Developments in 2016 and Key Trends in 2017, by Matthew Mayo
  5. Data Science Trends To Look Out For In 2017
  6. Data Science, Predictive Analytics Main Developments in 2016 and Key Trends for 2017
  7. First Deep Learning for coders MOOC launched by Jeremy Howard
  8. 4 Reasons Your Machine Learning Model is Wrong (and How to Fix It)
  9. Free ebooks: Machine Learning with Python and Practical Data Analysis
  10. The 5 Basic Types of Data Science Interview Questions


Most Shared

  1. AI, ML expertsMachine Learning & Artificial Intelligence: Main Developments in 2016 and Key Trends in 2017, by Matthew Mayo
  2. Bayesian Basics, Explained, by Kevin Gray
  3. Data Science Trends To Look Out For In 2017, by Andrew Dipper
  4. 50+ Data Science, Machine Learning Cheat Sheets, updated, by Thuy T. Pham
  5. Data Science, Predictive Analytics Main Developments in 2016 and Key Trends for 2017
  6. Why Deep Learning is Radically Different From Machine Learning
  7. 4 Cognitive Bias Key Points Data Scientists Need to Know
  8. 4 Reasons Your Machine Learning Model is Wrong (and How to Fix It)
  9. Big Data: Main Developments in 2016 and Key Trends in 2017
  10. The 5 Basic Types of Data Science Interview Questions
  11. Game Theory Reveals the Future of Deep Learning