Part 1: Mathematical Foundations for Machine Learning
Essential mathematical concepts including linear algebra, calculus, probability, and statistics that form the foundation of machine learning algorithms.
Chapters in This Part
Chapter 1: Linear Algebra for ML
Vectors, matrices, eigenvalues, and SVD - the mathematical language of machine learning....
Beginner
Enthusiast
90 min
Chapter 2: Calculus and Optimization
Derivatives, gradients, and optimization algorithms that power neural network training....
Beginner
Intermediate
75 min
Chapter 3: Probability and Statistics
Probability distributions, estimation, and statistical inference for machine learning....
Beginner
Intermediate
90 min