Mathematics for AI (Fall 2024)

References:

Deisenroth, Marc Peter, A. Aldo Faisal, and Cheng Soon Ong. Mathematics for machine learning. Cambridge University Press, 2020.
Goodfellow, Ian, Yoshua Bengio, Aaron Courville, and Yoshua Bengio. Deep learning. Vol. 1, no. 2. Cambridge: MIT press, 2016.
Strang, Gilbert. Linear algebra and learning from data. Cambridge: Wellesley-Cambridge Press, 2019.
Heath, Michael T. Scientific Computing: An Introductory Survey, Revised Second Edition. Society for Industrial and Applied Mathematics, 2018.

Linear Algebra and Matrix Analysis

Multivariate Calculus

Basic Probability and Statistics

Optimization

Session	Topic	Videos	Slides	Labs	Assignments
Session1	Introduction and Logistics	Aparate	Math4Ai – Lecture1.pdf	Lab0, Lab1 Lab1-files
Session2	Vectors, Vector Space, Span, Basis, Coordinates	Aparate	Math4Ai – Lecture2.pdf
Session3	Column space , Row space , Linear Subspace	Aparate , YouTube
Session4	linear maps, matrix multiplication, matrix rank	Aparate , YouTube
Session5	Linear Equations, Singular and Non-singular matrices			Lab2, Lab2-files
Session6	null space, solution to general linear equations				Home work1
Session7	Homogeneous Equations, Vector Norm, Orthogonality, Orthogonal Projection			Lab3, Lab3-files