Math for Programmers: 3D Graphics, Machine Learning and Simulations with Python
- 10h 44m
- Paul Orland
- Manning Publications
- 2020
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.
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.
In this Book
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About This Book
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Learning Math with Code
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Drawing with 2D Vectors
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Ascending to the 3D World
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Transforming Vectors and Graphics
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Computing Transformations with Matrices
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Generalizing to Higher Dimensions
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Solving Systems of Linear Equations
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Understanding Rates of Change
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Simulating Moving Objects
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Working with Symbolic Expressions
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Simulating Force Fields
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Optimizing a Physical System
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Analyzing Sound Waves with a Fourier Series
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Fitting Functions to Data
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Classifying Data with Logistic Regression
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Training Neural Networks
