Math for Programmers: 3D graphics, machine learning, and simulations with Python (MEAP)

English | 2020 | ISBN 9781617295355 | PDF, EPUB, MOBI

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 interestingand lucrative!careers in some of todays 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 youre 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 authors fun and engaging style, youll enjoy thinking about math like a programmer. With accessible examples, scenarios, and exercises perfect for the working developer, youll start by exploring functions and geometry in 2D and 3D. With those basic building blocks behind you, youll 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. Dont 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, youll test yourself with lots of exercises to ensure youve got a firm grasp of the concepts. Hands-on mini-projects throughout lock in all youve learned. When youre done, youll have a solid foundation of the math skills essential in todays most popular tech trends.

What’s inside

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

About the reader

Written for programmers with solid algebra skills (even if they need some dusting off). No formal coursework in linear algebra or calculus is required.

Download (Mega Link) zip format

https://mega.nz/file/ItsSHKLD#AYbNXPyZ6d3Soev2F_5nUO1MmnkQuktJetnJvm9y1mI

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