Math for Programmers: 3D Graphics, Machine Learning, and Simulations with Python

Description: FREE SHIPPING UK WIDE Math for Programmers by Paul Orland 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 todays hottest programming fields. Key Features · 2D and 3D 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 Written for programmers with solid algebra skills (even if they need some dusting off). No formal coursework in linear algebra or calculus is required. 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. Paul Orland is CEO of Tachyus, a Silicon Valley startup building predictive analytics software to optimize energy production in the oil and gas industry. As founding CTO, 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. FORMAT Paperback LANGUAGE English CONDITION Brand New 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 todays 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 youll 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 todays hottest fields. As you tackle the basics of linear algebra, calculus, and machine learning, youll master the key Python libraries used to turn them into real-world software applications. Author Biography Paul Orland is CEO of Tachyus, a Silicon Valley startup building predictive analytics software to optimize energy production in the oil and gas industry. As founding CTO, 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. Table of Contents table of contents READ IN LIVEBOOK 1LEARNING MATH WITH CODE PART 1: VECTORS AND GRAPHICS READ IN LIVEBOOK 2DRAWING WITH 2D VECTORS READ IN LIVEBOOK 3ASCENDING TO THE 3D WORLD READ IN LIVEBOOK 4TRANSFORMING VECTORS AND GRAPHICS READ IN LIVEBOOK 5COMPUTING TRANSFORMATIONS WITH MATRICES READ IN LIVEBOOK 6GENERALIZING TO HIGHER DIMENSIONS READ IN LIVEBOOK 7SOLVING SYSTEMS OF LINEAR EQUATIONS PART 2: CALCULUS AND PHYSICAL SIMULATION READ IN LIVEBOOK 8UNDERSTANDING RATES OF CHANGE READ IN LIVEBOOK 9SIMULATING MOVING OBJECTS READ IN LIVEBOOK 10WORKING WITH SYMBOLIC EXPRESSIONS READ IN LIVEBOOK 11SIMULATING FORCE FIELDS READ IN LIVEBOOK 12OPTIMIZING A PHYSICAL SYSTEM READ IN LIVEBOOK 13ANALYZING SOUND WAVES WITH A FOURIER SERIES PART 3: MACHINE LEARNING APPLICATIONS READ IN LIVEBOOK 14FITTING FUNCTIONS TO DATA READ IN LIVEBOOK 15CLASSIFYING DATA WITH LOGISTIC REGRESSION READ IN LIVEBOOK 16TRAINING NEURAL NETWORKS APPENDIXES READ IN LIVEBOOK APPENDIX A: GETTING SET UP WITH PYTHON READ IN LIVEBOOK APPENDIX B: PYTHON TIPS AND TRICKS READ IN LIVEBOOK APPENDIX C: LOADING AND RENDERING 3D MODELS WITH OPENGL AND PYGAME 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. V incent 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 Review Text 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. V incent 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 Details ISBN1617295353 Author Paul Orland Publisher Manning Publications ISBN-10 1617295353 ISBN-13 9781617295355 Short Title Math for Programmers Language English Format Paperback Subtitle 3D Graphics, Machine Learning, and Simulations with Python Year 2021 Imprint Manning Publications Place of Publication New York Country of Publication United States Illustrations Illustrations, unspecified Pages 650 Birth 1564 Death 1593 Affiliation Massachusetts Institute Of Technology Position Author Qualifications BA, MED AU Release Date 2021-03-02 NZ Release Date 2021-03-02 US Release Date 2021-03-02 Publication Date 2021-03-02 UK Release Date 2021-03-02 DEWEY 005.133 Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. 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