June 2025
Intermediate to advanced
448 pages
13h 10m
English
Content preview from AWS Certified Machine Learning Engineer Study Guide
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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 ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.