CS 229 - Linear Algebra and Calculus refresher

Teaching page of Shervine Amidi, Graduate Student at Stanford University.

Choosing the right estimator
Often the hardest part of solving a machine learning problem can be finding the right estimator for the job different estimators are better suited for different types of data and different problem
GitHub - wzchen/probability_cheatsheet: A comprehensive 10-page probability cheatsheet that covers a semester’s worth of introduction to probability.
A comprehensive 10 page probability cheatsheet that covers a semester 39 s worth of introduction to probability git hub wzchen probability cheatsheet a comprehensive 10 page probability cheat
CS 229 - Probabilities and Statistics refresher
Teaching page of shervine amidi graduate student at stanford university
GitHub - afshinea/stanford-cs-229-machine-learning: VIP cheatsheets for Stanford’s CS 229 Machine Learning
Vip cheatsheets for stanford s cs 229 machine learning git hub afshinea stanford cs 229 machine learning vip cheatsheets for stanford s cs 229 machine learning
CS 229 - Supervised Learning Cheatsheet
Teaching page of shervine amidi graduate student at stanford university
CS 229 - Unsupervised Learning Cheatsheet
Teaching page of shervine amidi graduate student at stanford university
CS 229 - Machine Learning Tips and Tricks Cheatsheet
Teaching page of shervine amidi graduate student at stanford university
CS 229 - Deep Learning Cheatsheet
Teaching page of shervine amidi graduate student at stanford university

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