Math for Programmers: learn the math needed for the best jobs in software development

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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. Take 42% off the book by entering slorland into the discount code box at checkout. Learn more about the book here: http://bit.ly/2UAkAZj

Software

$Learn the Math You Need for Today’s Hottest Careers! With Math for Programmers. Take 42% off the book by entering slorland into the discount code box at checkout at manning.com.$

Learn the math that goes with the code
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.

Sometimes, being a developer isn’t enough
When you’re using tools
steeped in statistics, linear
algebra, and calculus, it really
pays to understand what they
are doing behind the scenes.
Actually learning the
underpinning math can give
you real insight into how these
tools work, and a better
understanding of how to use
them.

Learn math through programming
Math for Programmers teaches
you to solve mathematical
problems in code and, believe it
or not, you’re going to have a lot
of fun along the way!
You’ll build and practice your new
knowledge, step-by-step, through
exercises, examples, and
scenarios aimed at today’s
working developer.

Learn from a developer and mathematician
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.

If you want to learn more
about the book, check it out
on liveBook here.
Get Math for Programmers for
42% by entering slorland into the
discount code box at checkout at
manning.com.

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