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**Type of Book: Digital or e-notes**

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

This is an excellent free ebook online on Machine learning Algorithms and what forms the basis of Artificial intelligence. It is split into Mathematical foundations, and Example machine learning algorithms that use the mathematical foundations

The table of contents breaks down as follows:

**Part I: Mathematical Foundations**

- Introduction and Motivation
- Linear Algebra
- Analytic Geometry
- Matrix Decompositions
- Vector Calculus
- Probability and Distribution
- Continuous Optimization

**Part II: Central Machine Learning Problems**

- When Models Meet Data
- Linear Regression
- Dimensionality Reduction with Principal Component Analysis
- Density Estimation with Gaussian Mixture Models
- Classification with Support Vector Machines

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