Top September Stories: Free From MIT: Intro to Computer Science and Programming in Python; Best Online MS in AI, Analytics, Data Science, Machine Learning

Here are the most popular posts in KDnuggets in September.

Most Viewed - Gold Badge (>10,000 UPV)

1. Free From MIT: Intro to Computer Science and Programming in Python, by Matthew Mayo
2. Best Online MS in AI, Analytics, Data Science, Machine Learning, by Gregory Piatetsky
3. Introduction to Time Series Analysis in Python, by Ahmad Anis
4. Automating Every Aspect of Your Python Project, by Martin Heinz
5. Autograd: The Best Machine Learning Library You're Not Using?, by Kevin Vu (*)

Most Viewed - Silver Badge (> 5,000 UPV)

6. Machine Learning from Scratch: Free Online Textbook, by Daniel Friedman
7. How I Consistently Improve My Machine Learning Models From 80% to Over 90% Accuracy, by Terence Shin (*)
8. Modern Data Science Skills: 8 Categories, Core Skills, and Hot Skills, by Gregory Piatetsky
9. The Best Free Data Science eBooks - 2020 Update, by Brenda Hali
10. Online Certificates from Top Universities in AI, Analytics, Data Science, Machine Learning, by Gregory Piatetsky (*)
11. 8 ML/AI Projects To Make Your Portfolio Stand Out, by Kajal Yadav (*)
12. On Implementing Deep Learning Library from Scratch in Python, by Parmeet Bhatia (*)
13. Geographical Plots with Python, by Ahmad Bin Shafiq (*)
14. Creating Powerful Animated Visualizations in Tableau, by Rajeshwari Rai

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Most Shared - Gold Badge (>500 shares)

1. Introduction to Time Series Analysis in Python, by Ahmad Anis
2. Modern Data Science Skills: 8 Categories, Core Skills, and Hot Skills, by Gregory Piatetsky (*)

Most Shared - Silver Badge (>250 shares)

3. Best Online MS in AI, Analytics, Data Science, Machine Learning, by Gregory Piatetsky
4. Machine Learning from Scratch: Free Online Textbook, by Daniel Friedman
5. The Best Free Data Science eBooks - 2020 Update, by Brenda Hali
6. How to Evaluate the Performance of Your Machine Learning Model, by Saurabh Raj
7. Deep Learning's Most Important Ideas, by Denny Britz
8. Free From MIT: Intro to Computer Science and Programming in Python, by Matthew Mayo
9. 8 ML/AI Projects To Make Your Portfolio Stand Out, by Kajal Yadav
10. Online Certificates from Top Universities in AI, Analytics, Data Science, Machine Learning, by Gregory Piatetsky
11. Statistics with Julia: The Free eBook, by Matthew Mayo
12. Automating Every Aspect of Your Python Project, by Martin Heinz

(*) indicates that badge added or upgraded based on these monthly results.

Most Shareable (Viral) Blogs

Among the top blogs, here are the blogs with the highest ratio of shares/unique views, which suggests that people who read it really liked it.

1. How to Evaluate the Performance of Your Machine Learning Model, by Saurabh Raj
2. Modern Data Science Skills: 8 Categories, Core Skills, and Hot Skills, by Gregory Piatetsky
3. Deep Learning's Most Important Ideas, by Denny Britz
4. A Deep Learning Dream: Accuracy and Interpretability in a Single Model, by Jesus Rodriguez
5. How To Decide What Data Skills To Learn, by Brandon Walker