Top 2020 Stories: 24 Best (and Free) Books To Understand Machine Learning; If I had to start learning Data Science again, how would I do it?

2020 was a very unusual year, with COVID upsetting all norms and expectations. People worked at home more, and companies switched to more distributed work force, and paid more attention to AI. KDnuggets has been ahead of the curve on all of these trends - we have been distributed and working at home from the start, and we have been covering AI, Data Science, and Machine Learning since from the first issue of KDnuggets. Thus it is not surprising that our readership has increased in 2020, reaching over 700,000 unique monthly viewers in November.

Here are the most popular KDnuggets posts published in 2020.

Most Viewed - Platinum Badge (>60,000 UPV)

1. 24 Best (and Free) Books To Understand Machine Learning, by Reashikaa Verma
2. If I had to start learning Data Science again, how would I do it?, by Santiago Viquez
3. Know What Employers are Expecting for a Data Scientist Role in 2020, by Shareef Shaik

Most Viewed - Gold Badge (>40,000 UPV)

4. Decision Tree Algorithm, Explained, by Nagesh Singh Chauhan
5. The Best NLP with Deep Learning Course is Free, by Matthew Mayo
6. How Much Math do you need in Data Science?, by Benjamin Obi Tayo
7. Data Science Minimum: 10 Essential Skills You Need to Know to Start Doing Data Science, by Benjamin Obi Tayo
8. The Death of Data Scientists - will AutoML replace them?, by Joseph Chin, Aifaz Gowani, Gabriel James, and Matthew Peng.

Most Viewed - Silver Badge (> 30,000 UPV)

9. Audio Data Analysis Using Deep Learning with Python (Part 1), by Nagesh Singh Chauhan
10. COVID-19 Visualized: The power of effective visualizations for pandemic storytelling, by Matthew Mayo
11. The Best Data Science Certification You've Never Heard Of, by Nicole Janeway Bills
12. fastcore: An Underrated Python Library, by Hamel Husain
13. Mathematics for Machine Learning: The Free eBook, by Matthew Mayo
14. Data Science MOOCs are too Superficial, by Benjamin Obi Tayo
15. 20 AI, Data Science, Machine Learning Terms You Need to Know in 2020 (Part 2), by Gregory Piatetsky

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Most Shared - Platinum Badge (>2,400 shares)

1. Top Python Libraries for Data Science, Data Visualization & Machine Learning, by Matthew Mayo
2. The Best NLP with Deep Learning Course is Free, by Matthew Mayo

Most Shared - Gold Badge (>1200 shares)

3. How Much Math do you need in Data Science?, by Benjamin Obi Tayo
4. The Death of Data Scientists - will AutoML replace them?, by Joseph Chin et al
5. 24 Best (and Free) Books To Understand Machine Learning, by Reashikaa Verma
6. If I had to start learning Data Science again, how would I do it?, by Santiago Viquez
7. Free Mathematics Courses for Data Science & Machine Learning, by Matthew Mayo
8. Data Science Minimum: 10 Essential Skills You Need to Know to Start Doing Data Science, by Benjamin Obi Tayo

Most Shared - Silver Badge (>1000 shares)

9. Introducing MIDAS: A New Baseline for Anomaly Detection in Graphs, by Limarc Ambalina
10. Deep Learning for Coders with fastai and PyTorch: The Free eBook, by Matthew Mayo
11. Free MIT Courses on Calculus: The Key to Understanding Deep Learning, by Matthew Mayo
12. COVID-19 Visualized: The power of effective visualizations for pandemic storytelling, by Matthew Mayo
13. Know What Employers are Expecting for a Data Scientist Role in 2020, by Shareef Shaik