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To score a job in data science, machine learning, computer graphics, and cryptography, you need to bring strong math skills to the party.Tackles a rarely discussed area of upskilling for the modern developer; this book is vital for the community to have access to.

*Math for Programmers* teaches you to solve mathematical problems in code. Thanks to the author’s fun and engaging style, you’ll enjoy thinking about math like a programmer. With accessible examples, scenarios, and exercises perfect for the working developer, you’ll start by exploring functions and geometry in 2D and 3D. With those basic building blocks behind you, you’ll move into the bread and butter math for machine learning and game programming, including matrices and linear transformations, derivatives and integrals, differential equations, probability, classification algorithms, and more. Don’t worry if it sounds intimidating or, worse yet, boring! Coder and mathematician Paul Orland makes learning these vital concepts painless, relevant, and fun!

Real-world examples in this practical tutorial include building and rendering 3D models, animations with matrix transformations, manipulating images and sound waves, and building a physics engine for a video game. Along the way, you’ll test yourself with lots of exercises to ensure you’ve got a firm grasp of the concepts. Hands-on mini-projects throughout lock in all you’ve learned. When you’re done, you’ll have a solid foundation of the math skills essential in today’s most popular tech trends.

Table of Contents takes you straight to the bookdetailed table of contents

- 2D and 3D vector math
- Matrices and linear transformations
- Core concepts from linear algebra
- Calculus with one or more variables
- Algorithms for regression, classification, and clustering
- Interesting real-world examples
- More than 200 exercises and mini-projects

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