M4ML - Linear Algebra - 1.1 Introduction: Solving data science challenges with mathematics
M4ML - Linear Algebra - 1.3 Getting a handle on vectors
M4ML - Linear Algebra - 5.2 What are eigenvalues and eigenvectors?
M4ML - Multivariate Calculus - 1.7 Chain Rule
M4ML - Multivariate Calculus - 1.2 Functions
M4ML - Linear Algebra - 5.3 Special eigen-cases
M4ML - Linear Algebra - 2.2 Part 1: Modulus & Inner Product
M4ML - Linear Algebra - 1.2 Motivations for linear algebra
M4ML - Linear Algebra - 2.4 Part 1: Basis, vector space, and linear independence
M4ML - Linear Algebra - 2.4 Part 2: Applications of changing basis
M4ML - Linear Algebra - 3.3 Part 1: Solving the apples and bananas problem: Gaussian elimination
M4ML - Linear Algebra - 1.4 Operations with vectors
M4ML - Multivariate Calculus - 3.2 Multivariate chain rule
M4ML - Multivariate Calculus - 1.3 Rise Over Run
M4ML - Linear Algebra - 3.3 Part 2: Going from Gaussian elimination to finding the inverse matrix
M4ML - Linear Algebra - 2.3 Changing basis
M4ML - Linear Algebra - 2.2 - Part 3: Projection
M4ML - Multivariate Calculus - 4.3 Power series
M4ML - Multivariate Calculus - 4.2 Building approximate functions
M4ML - Multivariate Calculus - 4.5 Power series details
M4ML - Linear Algebra - 3.2 Part 1: How matrices transform space
M4ML - Multivariate Calculus - 2.6 The Sandpit
M4ML - Multivariate Calculus - 2.3 Differentiate with respect to anything
M4ML - Multivariate Calculus - 1.8 Taming a Beast
M4ML - Multivariate Calculus - 3.3 More multivariate chain rule
