Math for Programmers: 3D graphics, machine learning, and simulations with Python - Softcover

Orland, Paul

Softcover

ISBN 10: 1617295353 ISBN 13: 9781617295355

Publisher: Manning, 2021

Synopsis

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 Manning Publications.

About this title

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.

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.

Edition details

• Publisher: Manning
• Publication date: 2021
• Language: English
• ISBN 10: 1617295353
• ISBN 13: 9781617295355
• Binding: Paperback
• Edition number: 1
• Number of pages: 688