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Essential Math for Machine Learning: Foundations and Applications

by hoangcuong1414
written by hoangcuong1414 0 comments 0 minutes read

Linear Algebra

Single-variable derivative

Partial derivative and Gradient

Jacobian Vector-Vector, Matrix-Vector

Introduction to Probability and Counting

Probability and Bayes’ Theorem

Random Variable and Discrete Distribution

Continuous Distribution

Gaussian Distribution

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