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Math for Programmers (Paperback)
Loot Price: R1,422
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Math for Programmers (Paperback)
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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.
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.
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