Here is a great set of cheat sheet on some of the following topics:
- Supervised learning
- Unsupervised learning
- Deep learning
- Probability and statistics
- Linear algebra
- Tips and tricks including performance metrics
https://stanford.edu/~shervine/teaching/cs-229/
Hope you liked the cheat sheets on different topics of machine learning and data science.
I have been recently working in the area of Data analytics including Data Science and Machine Learning / Deep Learning. I am also passionate about different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia, etc, and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data, etc. For latest updates and blogs, follow us on Twitter. I would love to connect with you on Linkedin.
Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking
Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking
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