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Contents

1 Catch-up for machine learning
- 1.1 Linear algebra
2 Machine learning for beginners
3 Basic statistics
4 Statistics and inference
5 Bayesian inference
6 Functional data analysis

Catch-up for machine learning

Linear algebra

Linear algebra by Jörg Liesen, Volker Mehrmann, 2015
Linear algebra by Jim Hefferon, 2017
Introduction to Applied Linear Algebra – Vectors, Matrices, and Least Squares by Stephen Boyd and Lieven Vandenberghe, 2018

Machine learning for beginners

Basic statistics

Statistics and inference

Bayesian inference

Functional data analysis

Solving Differential Equations on Manifolds by Ernst Hairer, 2011. University of Geneva

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