Machine Learning Cheat sheet (Stanford)

March 23, 2019 by Ajitesh Kumar · Leave a comment

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.

Ajitesh Kumar
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Ajitesh Kumar

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. 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.
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