Top July Stories: Data Science MOOCs are too Superficial

Here are the most popular posts in KDnuggets in July.

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

1. Data Science MOOCs are too Superficial, by Benjamin Obi Tayo Ph.D. (*)

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

2. A Layman's Guide to Data Science. Part 3: Data Science Workflow, by Sciforce
3. The Bitter Lesson of Machine Learning, by Richard Sutton
4. Free MIT Courses on Calculus: The Key to Understanding Deep Learning, by Matthew Mayo
5. Speed up your Numpy and Pandas with NumExpr Package, by Tirthajyoti Sarkar
6. Easy Guide To Data Preprocessing In Python, by Ahmad Anis (*)
7. Getting Started with TensorFlow 2, by Ahmad Anis (*)

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

8. Exploratory Data Analysis on Steroids, by Diego Lopez Yse (*)
9. Feature Engineering in SQL and Python: A Hybrid Approach, by Shaw Lu (*)
10. Computational Linear Algebra for Coders: The Free Course, by Matthew Mayo

---

Most Shared - Gold Badge (>500 shares)

1. Free MIT Courses on Calculus: The Key to Understanding Deep Learning, by Matthew Mayo

Most Shared - Silver Badge (>250 shares)

2. Awesome Machine Learning and AI Courses, by Lukas Spranger
3. Data Science MOOCs are too Superficial, by Benjamin Obi Tayo Ph.D.
4. The Bitter Lesson of Machine Learning, by Richard Sutton
5. A Layman's Guide to Data Science. Part 3: Data Science Workflow, by Sciforce
6. A Complete Guide To Survival Analysis In Python, part 1, by Pratik Shukla (*)
7. Deploy Machine Learning Pipeline on AWS Fargate, by Moez Ali
8. Easy Guide To Data Preprocessing In Python, by Ahmad Anis
9. Essential Resources to Learn Bayesian Statistics, by Ilan Reinstein
10. First Steps of a Data Science Project, by Favio Vazquez (*)
11. Getting Started with TensorFlow 2, by Ahmad Anis

(*) 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. Awesome Machine Learning and AI Courses, by Lukas Spranger
2. A Complete Guide To Survival Analysis In Python, part 1, by Pratik Shukla
3. PyTorch for Deep Learning: The Free eBook, by Matthew Mayo
4. A Tour of End-to-End Machine Learning Platforms, by Ian Hellstrom
5. Recurrent Neural Networks (RNN): Deep Learning for Sequential Data, by Kevin Vu