Top April Stories: Why so many data scientists are leaving their jobs? 7 Books to Grasp Math Foundations of Data Science and Machine Learning

Here are the most popular posts in KDnuggets in April, based on the number of unique page views (UPV), the remaining social share counts from Facebook, Twitter, and Addthis.

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

1. Why so many data scientists are leaving their jobs, by Jonny Brooks (*)

 

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

2. Key Algorithms and Statistical Models for Aspiring Data Scientists, by Colleen Farrelly (*)
3. Top 20 Deep Learning Papers, 2018 Edition, by Pedro Lopez
4. Top 8 Free Must-Read Books on Deep Learning, by Dan Clark

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

5. 7 Books to Grasp Mathematical Foundations of Data Science and Machine Learning, by Ajit Jaokar
6. How Do I Get My First Data Science Job?, by Reshama Shaikh
7. Ten Machine Learning Algorithms You Should Know to Become a Data Scientist, by Muktabh Mayank (*)
8. Python Regular Expressions Cheat Sheet, by Alex Yang
9. Blockchain Explained in 7 Python Functions, by Tom Cusack
10. Top 10 Technology Trends of 2018, by ActiveWizards (*)

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Most Shared - Platinum Badge (>1,200 shares)

1. 7 Books to Grasp Mathematical Foundations of Data Science and Machine Learning, by Ajit Jaokar (*)

 

Most Shared - Gold Badges (>600 shares)

2. Top 8 Free Must-Read Books on Deep Learning, by Dan Clark
3. Top 20 Deep Learning Papers, 2018 Edition, by Pedro Lopez
4. Blockchain Explained in 7 Python Functions, by Tom Cusack
5. Python Regular Expressions Cheat Sheet, by Alex Yang (*)
6. Why so many data scientists are leaving their jobs, by Jonny Brooks

Most Shared - Silver Badges (>350 shares)

7. Choosing the Right Metric for Evaluating Machine Learning Models - Part 1, by Alvira Swalin (*)
8. Ten Machine Learning Algorithms You Should Know to Become a Data Scientist, by Muktabh Mayank
9. Top 10 Technology Trends of 2018, by ActiveWizards
10. 12 Useful Things to Know About Machine Learning, by James Le (*)
11. Why Deep Learning is perfect for NLP (Natural Language Processing), by Wei Di, Anurag Bhardwaj & Jianing Wei (*)

(*) indicates that badge added or upgraded based on these monthly results.

Most Shareable (Viral) Blogs

Among the top blogs, here are the 6 blogs with the highest ratio of shares/unique views, which suggests that people who read it really liked it.

1. Implementing Deep Learning Methods and Feature Engineering for Text Data: The Skip-gram Model, by Dipanjan Sarkar
2. 12 Useful Things to Know About Machine Learning, by James Le
3. Building Convolutional Neural Network using NumPy from Scratch, by Ahmed Gad
4. Why Deep Learning is perfect for NLP (Natural Language Processing), by Wei Di, Anurag Bhardwaj & Jianing Wei, packt sponsored
5. Choosing the Right Metric for Evaluating Machine Learning Models - Part 1, by Alvira Swalin
6. Where Analytics, Data Science, Machine Learning Were Applied: Trends and Analysis, by Gregory Piatetsky