Table of Contents
Math for Programmers - 3D graphics, machine learning, and simulations with Python by Paul Orland
Return to Math for Programmers, Math, Math for Data Science and DataOps, Math for Machine Learning and MLOps, Math for Programmers and Software Engineering, Outline of Mathematics, Math Bibliography, Outline of Software Engineering, Outline of Computer Science
Book Summary
Reviews
“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
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.
Product Details
- Publication date: January 12, 2021
- Paperback: 688 pages
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