Mathematics for Machine Learning - 2020
Details
Title : Mathematics for Machine Learning Author(s): Deisenroth, Marc P. and Faisal, A. Aldo and Ong, Cheng Soon Link(s) : https://mml-book.github.io/book/mml-book.pdf
Rough Notes
Chapter 1: Introduction and Motivation
Main concepts in this book:
- Data can be represented as vectors.
- Appropriate models are important, and can be chosen using a probabilistic or optimization view.
- Learning from available data can be done with numerical optimization algorithms, and the aim is to make the model perform well on unseen data.
[Figure 1.1 summarizes the book contents nicely].