Top March stories: 24 Best (and Free) Books To Understand Machine Learning; COVID-19 Visualized: The power of effective visualizations; 20 AI, DS, ML terms you need to know

Here are the most popular posts in KDnuggets in March.

Most Viewed - Platinum Badge (>20,000 UPV)

1. 24 Best (and Free) Books To Understand Machine Learning, by Reashikaa Verma (*)
2. COVID-19 Visualized: The power of effective visualizations for pandemic storytelling, by Matthew Mayo (*)
3. 20 AI, Data Science, Machine Learning Terms You Need to Know in 2020 (Part 2), by Gregory Piatetsky (*)

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

4. Linear to Logistic Regression, Explained Step by Step, by Clare Liu (*)
5. How (not) to use Machine Learning for time series forecasting: The sequel, by Vegard Flovik (*)

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

6. 50 Must-Read Free Books For Every Data Scientist in 2020, by Reashikaa Verma
7. Nine lessons learned during my first year as a Data Scientist Jacob, by D Peters
8. New Poll: Coronavirus impact on AI/Data Science/Machine Learning community, by Matthew Mayo
9. Covid-19, your community, and you - a data science perspective, by Jeremy Howard and Rachel Thomas
10. Coronavirus Data and Poll Analysis - yes, there is hope, if we act now, by Gregory Piatetsky
11. Research into 1,001 Data Scientist LinkedIn Profiles, the latest, by Iliya Valchanov (*)
12. A Top Machine Learning Algorithm Explained: Support Vector Machines (SVM), by Clare Liu (*)

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Most Shared - Gold Badge (>500 shares)

1. 24 Best (and Free) Books To Understand Machine Learning, by Reashikaa Verma
2. COVID-19 Visualized: The power of effective visualizations for pandemic storytelling, by Matthew Mayo
3. 20 AI, Data Science, Machine Learning Terms You Need to Know in 2020 (Part 2), by Gregory Piatetsky

Most Shared - Silver Badge (>250 shares)

4. Linear to Logistic Regression, Explained Step by Step, by Clare Liu
5. How (not) to use Machine Learning for time series forecasting: The sequel, by Vegard Flovik
6. Covid-19, your community, and you - a data science perspective, by Jeremy Howard and Rachel Thomas
7. 50 Must-Read Free Books For Every Data Scientist in 2020, by Reashikaa Verma
8. Resources for Women in AI, Data Science, and Machine Learning, by Gregory Piatetsky (*)

(*) 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. Resources for Women in AI, Data Science, and Machine Learning, by Gregory Piatetsky
2. Trends in Machine Learning in 2020, by Tanya Singh
3. Time Series Classification Synthetic vs Real Financial Time Series, by Matthew Smith
4. The Most Useful Machine Learning Tools of 2020, by Ian Xiao
5. When Will AutoML replace Data Scientists? Poll Results and Analysis, by Gregory Piatetsky