AWS Certified Machine Learning Engineer Study Guide

Appendix BMathematics Essentials

This appendix provides a self-contained primer on key mathematical concepts essential for understanding machine learning. The topics covered include linear algebra, statistics, probability theory, and calculus. Each section introduces fundamental concepts and contains examples for easy integration into your study materials.

Linear Algebra

Linear algebra is a subject of mathematics focused on linear transformations, which forms the backbone of machine learning. It deals with structures such as scalars, vectors, matrices, and tensors, as well as notions like rank and dimension. A strong foundation in linear algebra is crucial for understanding the underlying principles and rationale behind many machine learning ...