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
Also: 20 AI, Data Science, Machine Learning Terms You Need to Know in 2020 (Part 2); Linear to Logistic Regression, Explained Step by Step.
By Gregory Piatetsky, KDnuggets on April 9, 2020 in Top stories
Here are the most popular posts in KDnuggets in March.
(*) indicates that badge added or upgraded based on these monthly results.
More On This Topic
Most Viewed - Platinum Badge (>20,000 UPV)
- 24 Best (and Free) Books To Understand Machine Learning, by Reashikaa Verma (*)
- COVID-19 Visualized: The power of effective visualizations for pandemic storytelling, by Matthew Mayo (*)
- 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)
- Linear to Logistic Regression, Explained Step by Step, by Clare Liu (*)
- How (not) to use Machine Learning for time series forecasting: The sequel, by Vegard Flovik (*)
Most Viewed - Silver Badge (> 5,000 UPV)
- 50 Must-Read Free Books For Every Data Scientist in 2020, by Reashikaa Verma
- Nine lessons learned during my first year as a Data Scientist Jacob, by D Peters
- New Poll: Coronavirus impact on AI/Data Science/Machine Learning community, by Matthew Mayo
- Covid-19, your community, and you - a data science perspective, by Jeremy Howard and Rachel Thomas
- Coronavirus Data and Poll Analysis - yes, there is hope, if we act now, by Gregory Piatetsky
- Research into 1,001 Data Scientist LinkedIn Profiles, the latest, by Iliya Valchanov (*)
- A Top Machine Learning Algorithm Explained: Support Vector Machines (SVM), by Clare Liu (*)
Most Shared - Gold Badge (>500 shares)
- 24 Best (and Free) Books To Understand Machine Learning, by Reashikaa Verma
- COVID-19 Visualized: The power of effective visualizations for pandemic storytelling, by Matthew Mayo
- 20 AI, Data Science, Machine Learning Terms You Need to Know in 2020 (Part 2), by Gregory Piatetsky
Most Shared - Silver Badge (>250 shares)
- Linear to Logistic Regression, Explained Step by Step, by Clare Liu
- How (not) to use Machine Learning for time series forecasting: The sequel, by Vegard Flovik
- Covid-19, your community, and you - a data science perspective, by Jeremy Howard and Rachel Thomas
- 50 Must-Read Free Books For Every Data Scientist in 2020, by Reashikaa Verma
- 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.- Resources for Women in AI, Data Science, and Machine Learning, by Gregory Piatetsky
- Trends in Machine Learning in 2020, by Tanya Singh
- Time Series Classification Synthetic vs Real Financial Time Series, by Matthew Smith
- The Most Useful Machine Learning Tools of 2020, by Ian Xiao
- When Will AutoML replace Data Scientists? Poll Results and Analysis, by Gregory Piatetsky
- 24 Best (and Free) Books To Understand Machine Learning
- 10 Amazing Machine Learning Visualizations You Should Know in 2023
- Using Twitter to Understand Pizza Delivery Apprehension During COVID
- Prepare Your Data for Effective Tableau & Power BI Dashboards
- KDnuggets News 22:n12, March 23: Best Data Science Books for…
- KDnuggets News, April 13: Python Libraries Data Scientists Should…