Top June Stories: How Much Math do you need in Data Science? Easy Speech-to-Text with Python

Here are the most popular posts in KDnuggets in June.

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

1. How Much Math do you need in Data Science?, by Benjamin Obi Tayo (*)
2. Easy Speech-to-Text with Python, by Dhilip Subramanian (*)

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

3. Learning by Forgetting: Deep Neural Networks and the Jennifer Aniston Neuron, by Jesus Rodriguez (*)
4. Don't Democratize Data Science, by Rahul Agrawal
5. If you had to start statistics all over again, where would you start?, by Lee Baker (*)

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

6. Deep Learning for Coders with fastai and PyTorch: The Free eBook, by Matthew Mayo
7. 4 Free Math Courses to do and Level up your Data Science Skills, by Gonzalo Ferreiro Volpi
8. Naive Bayes Algorithm: Everything you need to know, by Nagesh Singh Chauhan
9. The Most Important Fundamentals of PyTorch you Should Know, by Kevin Vu
10. Overview of data distributions, by Madalina Ciortan (*)
11. A Complete guide to Google Colab for Deep Learning, by Ahmad Anis
12. From Languages to Information: Another Great NLP Course from Stanford, by Matthew Mayo (*)

---

Most Shared - Platinum Badge (>1000 UPV)

1. How Much Math do you need in Data Science?, by Benjamin Obi Tayo (*)

Most Shared - Gold Badge (>500 shares)

2. Deep Learning for Coders with fastai and PyTorch: The Free eBook, by Matthew Mayo
3. A Complete guide to Google Colab for Deep Learning, by Ahmad Anis

Most Shared - Silver Badge (>250 shares)

4. 4 Free Math Courses to do and Level up your Data Science Skills, by Gonzalo Ferreiro Volpi
5. Easy Speech-to-Text with Python, by Dhilip Subramanian
6. Natural Language Processing with Python: The Free eBook, by Matthew Mayo
7. Deep Learning for Detecting Pneumonia from X-ray Images, by Abhinav Sagar
8. Uber's Ludwig is an Open Source Framework for Low-Code Machine Learning, by Jesus Rodriguez
9. From Languages to Information: Another Great NLP Course from Stanford, by Matthew Mayo
10. Overview of data distributions, by Madalina Ciortan
11. Understanding Machine Learning: The Free eBook, by Matthew Mayo (*)
12. Skills to Build for Data Engineering, by Mohammed M Jubapu (*)
13. Naive Bayes Algorithm: Everything you need to know, by Nagesh Singh Chauhan
14. Five Cognitive Biases In Data Science (And how to avoid them), by Rahul Agrawal (*)

(*) 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. Uber's Ludwig is an Open Source Framework for Low-Code Machine Learning, by Jesus Rodriguez
2. Skills to Build for Data Engineering, by Mohammed M Jubapu
3. A Complete guide to Google Colab for Deep Learning, by Ahmad Anis
4. Deep Learning for Detecting Pneumonia from X-ray Images, by Abhinav Sagar
5. Introduction to Pandas for Data Science, by Ahmad Anis
6. Deep Learning for Coders with fastai and PyTorch: The Free eBook, by Matthew Mayo