Farhad-Davaripour / Stanford-CS229-Spring2023-Notes Public

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CS229 course notes from Stanford University on machine learning, covering lectures, and fundamental concepts and algorithms. A comprehensive resource for students and anyone interested in machine learning.

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LICENSE		LICENSE
Part1_Supervised_learning.md		Part1_Supervised_learning.md
Part2_Deep_learning.md		Part2_Deep_learning.md
Part3_Generalization_and_regularization.md		Part3_Generalization_and_regularization.md
Part4_Unsupervised_learning.md		Part4_Unsupervised_learning.md
Part5_Reinforcement_Learning_AND_Control.md		Part5_Reinforcement_Learning_AND_Control.md
Probability_statistics_concepts.md		Probability_statistics_concepts.md
README.md		README.md

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My distilled note for Stanford-CS229-2023

Part 1: Supervised Learning
Part 2: Deep Learning
Part 3: Generalization and regularization
Part 4: Unsupervised learning
Part 5: Reinforcement learning

Side Notes

Fundamental concepts in Probability and Statistics

Download the main course note from this Link.

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CS229 course notes from Stanford University on machine learning, covering lectures, and fundamental concepts and algorithms. A comprehensive resource for students and anyone interested in machine learning.

data-science machine-learning deep-learning neural-network cs229

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