Top September Stories: Free From MIT: Intro to Computer Science and Programming in Python; Best Online MS in AI, Analytics, Data Science, Machine Learning
Also: Introduction to Time Series Analysis in Python; Automating Every Aspect of Your Python Project
Here are the most popular posts in KDnuggets in September.
(*) indicates that badge added or upgraded based on these monthly results.
More On This Topic
Most Viewed - Gold Badge (>10,000 UPV)
- Free From MIT: Intro to Computer Science and Programming in Python, by Matthew Mayo
- Best Online MS in AI, Analytics, Data Science, Machine Learning, by Gregory Piatetsky
- Introduction to Time Series Analysis in Python, by Ahmad Anis
- Automating Every Aspect of Your Python Project, by Martin Heinz
- Autograd: The Best Machine Learning Library You're Not Using?, by Kevin Vu (*)
Most Viewed - Silver Badge (> 5,000 UPV)
- Machine Learning from Scratch: Free Online Textbook, by Daniel Friedman
- How I Consistently Improve My Machine Learning Models From 80% to Over 90% Accuracy, by Terence Shin (*)
- Modern Data Science Skills: 8 Categories, Core Skills, and Hot Skills, by Gregory Piatetsky
- The Best Free Data Science eBooks - 2020 Update, by Brenda Hali
- Online Certificates from Top Universities in AI, Analytics, Data Science, Machine Learning, by Gregory Piatetsky (*)
- 8 ML/AI Projects To Make Your Portfolio Stand Out, by Kajal Yadav (*)
- On Implementing Deep Learning Library from Scratch in Python, by Parmeet Bhatia (*)
- Geographical Plots with Python, by Ahmad Bin Shafiq (*)
- Creating Powerful Animated Visualizations in Tableau, by Rajeshwari Rai
Most Shared - Gold Badge (>500 shares)
- Introduction to Time Series Analysis in Python, by Ahmad Anis
- Modern Data Science Skills: 8 Categories, Core Skills, and Hot Skills, by Gregory Piatetsky (*)
Most Shared - Silver Badge (>250 shares)
- Best Online MS in AI, Analytics, Data Science, Machine Learning, by Gregory Piatetsky
- Machine Learning from Scratch: Free Online Textbook, by Daniel Friedman
- The Best Free Data Science eBooks - 2020 Update, by Brenda Hali
- How to Evaluate the Performance of Your Machine Learning Model, by Saurabh Raj
- Deep Learning's Most Important Ideas, by Denny Britz
- Free From MIT: Intro to Computer Science and Programming in Python, by Matthew Mayo
- 8 ML/AI Projects To Make Your Portfolio Stand Out, by Kajal Yadav
- Online Certificates from Top Universities in AI, Analytics, Data Science, Machine Learning, by Gregory Piatetsky
- Statistics with Julia: The Free eBook, by Matthew Mayo
- 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.- How to Evaluate the Performance of Your Machine Learning Model, by Saurabh Raj
- Modern Data Science Skills: 8 Categories, Core Skills, and Hot Skills, by Gregory Piatetsky
- Deep Learning's Most Important Ideas, by Denny Britz
- A Deep Learning Dream: Accuracy and Interpretability in a Single Model, by Jesus Rodriguez
- How To Decide What Data Skills To Learn, by Brandon Walker
- Free From MIT: Intro to Computer Science and Programming in Python
- KDnuggets News, September 14: Free Python for Data Science Course •…
- KDnuggets™ News 20:n35, Sep 16: Data Science Skills: Core, Emerging,…
- Top 2020 Stories: 24 Best (and Free) Books To Understand Machine Learning;…
- Top November Stories: Top Python Libraries for Data Science, Data…
- The Most Popular Intro to Programming Course From Harvard is Free!
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Published on October 13, 2020 by