To score a job in data science, machine learning, computer graphics, and cryptography, you need to bring strong math skills to the party. Math for Programmers teaches the math you need for these hot careers, concentrating on what you need to know as a developer. Filled with lots of helpful graphics and more than 200 exercises and mini-projects, this book unlocks the door to interesting–and lucrative!–careers in some of today’s hottest programming fields.It feels like you're learning exactly what you need to know to get stuff done.
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.
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Great step by step introduction/refresher to applied mathematics, with common software engineering problems in mind.
A great resource to quickly get a grasp of mathematical concepts and how they're applied to different problems.
The book contains a number of great examples that makes the subjects relatable and elevates it above some boring textbook.