Math for Programmers: 3D graphics, machine learning, and simulations with Python
Author:Paul Orland (Author)
Publisher finelybook 出版社: Manning
Publication Date 出版日期: 2021-01-12
Edition 版本: 1st
Language 语言: English
Print Length 页数: 688 pages
ISBN-10: 1617295353
ISBN-13: 9781617295355
Book Description
To score a job in data science, machine learning, computer graphics, or 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 300 exercises and mini-projects, this book unlocks the door to interesting-and lucrative!-careers in some of today’s hottest programming fields. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Publications.
Editorial Reviews
Review
“A gentle introduction to some of the most useful mathematical concepts that should be in your developer toolbox.” –Christopher Haupt, New Relic
“A rigorous yet approachable overview of the mathematics that underpin a number of modern programming domains.”
–Dan Sheikh, BCG Digital Ventures
“Engaging, practical, recommend for all levels.”
–Vincent Zhu, rethinkxsocial.com
“It provides a bridge for programmers who need to brush up on their math skills, and does a nice job of making the math less mysterious and more approachable.”
–Robert Walsh, Excalibur Solutions
From the Back Cover
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. Skip the mathematical jargon: This one-of-a-kind book uses Python to teach the math you need to build games, simulations, 3D graphics, and machine learning algorithms. Discover how algebra and calculus come alive when you see them in code!
In Math for Programmers you’ll explore important mathematical concepts through hands-on coding. Filled with 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 fields. As you tackle the basics of linear algebra, calculus, and machine learning, you’ll master the key Python libraries used to turn them into real-world software applications.
About the Author
Paul Orland is a programmer, software entrepreneur, and math enthusiast. He is the co-founder of Tachyus, a Silicon Valley startup building predictive analytics software to optimize energy production in the oil and gas industry. At Tachyus he led the engineering team to productize hybrid machine learning and physics models, distributed optimization algorithms, and custom web-based data visualizations. He has a B.S. in mathematics from Yale University and a M.S. in physics from the University of Washington.