October was a record month for KDnuggets, with an all-time high number of visitors, who had an abundance of great content to choose. Here are the most popular KDnuggets posts in October.

Most Viewed - Platinum Badge (>24,000 UPV)

1. Data Science Minimum: 10 Essential Skills You Need to Know to Start Doing Data Science, by Benjamin Obi Tayo (*)
2. fastcore: An Underrated Python Library, by Hamel Husain (*)
3. Goodhart's Law for Data Science and what happens when a measure becomes a target?, by Jamil Mirabito (*)

Most Viewed - Gold Badge (>12,000 UPV)

4. How to become a Data Scientist: a step-by-step guide, by Great Learning
5. PerceptiLabs - A GUI and Visual API for TensorFlow, by PerceptiLabs (*)
6. A step-by-step guide for creating an authentic data science portfolio project, by Felix Vemmer
7. How to Explain Key Machine Learning Algorithms at an Interview, by Terence Shin

Most Viewed - Silver Badge (> 6,000 UPV)

9. Text Mining with R: The Free eBook, by Matthew Mayo (*)
10. The unspoken difference between junior and senior data scientists, by Misra Turp (*)
11. Roadmap to Natural Language Processing (NLP), by Pier Paolo Ippolito
12. How to ace the data science coding challenge, by Benjamin Obi Tayo (*)
13. Ain't No Such a Thing as a Citizen Data Scientist, by Venkat Raman (*)
14. 10 Best Machine Learning Courses in 2020, by Ahmad Bin Shafiq
15. Good-bye Big Data. Hello, Massive Data!, by Sqream (*)
16. Free From MIT: Intro to Computational Thinking and Data Science, by Matthew Mayo

---

Most Viewed - Platinum Badge (>1,000 shares)

1. Data Science Minimum: 10 Essential Skills You Need to Know to Start Doing Data Science, by Benjamin Obi Tayo

Most Shared - Gold Badge (>500 shares)

2. 10 Best Machine Learning Courses in 2020, by Ahmad Bin Shafiq
3. How to become a Data Scientist: a step-by-step guide, by Great Learning
4. How to Explain Key Machine Learning Algorithms at an Interview, by Terence Shin

Most Shared - Silver Badge (>250 shares)

5. Free From MIT: Intro to Computational Thinking and Data Science, by Matthew Mayo
6. How LinkedIn Uses Machine Learning in its Recruiter Recommendation Systems, by Jesus Rodriguez (*)
7. Software Engineering Tips and Best Practices for Data Science, by Ahmed Besbes (*)
8. An Introduction to AI, updated, by Imtiaz Adam (*)
9. fastcore: An Underrated Python Library, by Hamel Husain
10. Free Introductory Machine Learning Course From Amazon, by Matthew Mayo (*)
11. A step-by-step guide for creating an authentic data science portfolio project, by Felix Vemmer
12. Roadmap to Natural Language Processing (NLP), by Pier Paolo Ippolito
13. Annotated Machine Learning Research Papers, by Matthew Mayo (*)

(*) 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. An Introduction to AI, updated, by Imtiaz Adam
2. How LinkedIn Uses Machine Learning in its Recruiter Recommendation Systems, by Jesus Rodriguez
3. 5 Best Practices for Putting Machine Learning Models Into Production, by Sigmoid
4. Annotated Machine Learning Research Papers, by Matthew Mayo
5. Free Introductory Machine Learning Course From Amazon, by Matthew Mayo