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Recommended resources
Module 2
Matrix Decompositions and Geometric Applications
Module 3
Calculus Foundations: Derivatives and Gradients
Module 4
Probability and Distributions
Module 5
Statistical Estimation and Information Theory
Module 6
Optimization for Machine Learning
Module 7
Advanced Optimization and Regularization
Module 8
Calculus of Neural Networks: Backpropagation
Module 9