Top Stories, Nov 21-27: Top 20 Python Machine Learning Open Source Projects; Continuous Improvement for IoT

Most Popular Last Week

1. The 10 Algorithms Machine Learning Engineers Need to Know, by James Le
2. How Bayesian Inference Works, by Brandon Rohrer
3. Top 20 Python Machine Learning Open Source Projects, updated
4. 21 Must-Know Data Science Interview Questions and Answers
5. Tips for Beginner Machine Learning/Data Scientists Feeling Overwhelmed
6. 7 Steps to Mastering Machine Learning With Python
7. Trump, Failure of Prediction, and Lessons for Data Scientists

Most Shared Last Week

1. Top 20 Python Machine Learning Open Source Projects, updated, by Prasad Pore - Nov 21, 2016.
2. Continuous improvement for IoT through AI / Continuous learning, by Ajit Jaokar - Nov 25, 2016.
3. Top 10 Facebook Groups for Big Data, Data Science, and Machine Learning - Nov 23, 2016.
4. Linear Regression, Least Squares & Matrix Multiplication: A Concise Technical Overview - Nov 24, 2016.
5. Tips for Beginner Machine Learning/Data Scientists Feeling Overwhelmed - Nov 25, 2016.
6. Deep Learning Research Review: Reinforcement Learning - Nov 25, 2016.
7. Predictive Science vs Data Science - Nov 22, 2016.

Most Popular Past 30 Days

1. Trump, Failure of Prediction, and Lessons for Data Scientists
2. The 10 Algorithms Machine Learning Engineers Need to Know
3. 5 EBooks to Read Before Getting into A Machine Learning Career
4. 21 Must-Know Data Science Interview Questions and Answers
5. Machine Learning: A Complete and Detailed Overview
6. 7 Steps to Mastering Machine Learning With Python
7. How Bayesian Inference Works

Most Shared Past 30 Days

1. Trump, Failure of Prediction, and Lessons for Data Scientists - Nov 09, 2016.
2. Learn Data Science for Excellence and not just for the Exams - Oct 31, 2016.
3. Top 10 Amazon Books in Data Mining, 2016 Edition - Nov 11, 2016.
4. Top 20 Python Machine Learning Open Source Projects, updated - Nov 21, 2016.
5. How Bayesian Inference Works - Nov 15, 2016.
6. Continuous improvement for IoT through AI / Continuous learning - Nov 25, 2016.
7. Data Science and Big Data, Explained - Nov 14, 2016.