[Book]Mathematics for Machine Learning

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Mathematics for Machine Learning
By Marc Peter Deisenroth, A. Aldo Faisal, and Cheng Soon Ong

This book provides great coverage of all the basic mathematical concepts for machine learning.
It is divided into two parts
Part I: Mathematical Foundations

  1. Introduction and Motivation
  2. Linear Algebra
  3. Analytic Geometry
  4. Matrix Decompositions
  5. Vector Calculus
  6. Probability and Distribution
  7. Continuous Optimization

Part II: Central Machine Learning Problems

  1. When Models Meet Data
  2. Linear Regression
  3. Dimensionality Reduction with Principal Component Analysis
  4. Density Estimation with Gaussian Mixture Models
  5. Classification with Support Vector Machines

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