AML
Applied Machine Learning
Lectures
Appendix
Project
Resources
← Hub
Lectures
Appendix
Project
Resources
← Hub
← Lectures
Reference
Math Appendix
Mathematics
Mathematics
Linear Algebra Essentials
Vectors, matrices, dot product, eigenvalues — everything used in ML derivations
Mathematics
Probability & Statistics
Distributions, expectations, Bayes theorem, MLE
Mathematics
Calculus & Gradients
Derivatives, chain rule, gradient descent derivation
Mathematics
Information Theory
Entropy, KL divergence, cross-entropy — used in loss functions