Math for Programmers [Math for Programmers: graphics, machine learning, and simulations with Python MEAP V08]
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Math for Programmers: graphics, machine learning, and simulations with Python MEAP V08 | English
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 bookMath 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. 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 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.
What's inside2D and 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-projectsAbout 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.
*Math for Programmers: graphics, machine learning, and simulations with Python-P2PSpring 2020 | ISBN: 9781617295355 | English | 517 pages | True (PDF, EPUB, MOBI) + Code |61MB
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