Math for Programmers: 3D graphics, machine learning, and simulati...

Summary
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.

About the Technology
Most businesses realize they need to apply data science and effective machine learning to gain and maintain a competitive edge. To build these applications, they need developers comfortable writing code and using tools steeped in statistics, linear algebra, and calculus. Math also plays an integral role in other modern applications like game development, computer graphics and animation, image and signal processing, pricing engines, and stock market analysis. Whether you’re a self-taught programmer without a core university math foundation or you just need to rekindle the glowing math embers, this book is a great way to fire up your skills.
About the book

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!