The 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 & 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐂𝐨𝐦𝐩𝐞𝐧𝐝𝐢𝐮𝐦, by Ori Cohen, is a great resource for core data science topics (stats, math, ML, DL, etc). It provides a short summary and links for more detailed resources such as 𝐨𝐩𝐞𝐧-𝐬𝐨𝐮𝐫𝐜𝐞 applications, articles, Youtube videos, online courses, covering more than 500 𝐭𝐨𝐩𝐢𝐜𝐬. This project deployed on #Github book (with close to 600 𝐬𝐭𝐚𝐫𝐬!) and is available here:

https://lnkd.in/g8QyeZNA

Here are some of the topics:
- Calculus
- Probability and statistics
- Normalization and scaling
- Anomaly detection
- Time series
- Regularization
- Clustering
- Decision trees
- Deep Neural Nets
- Natural Language Processing
- Reinforcement Learning