Math for Programming by Kneusel, Ronald T.
Math for Programming by Kneusel, Ronald T.

Math for Programming

Learn all of the core mathematical topics that professional software engineers need to know--in a single book!...
HK$589.27
HK$589.27
SKU: 9781718503588
Product Type: Books
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Author: Ronald T. Kneusel
Format: Paperback
Language: English
Subtotal: $589.27
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Math for Programming by Kneusel, Ronald T.

Math for Programming

$589.27
Math for Programming by Kneusel, Ronald T.

Math for Programming

$589.27
Author: Ronald T. Kneusel
Format: Paperback
Language: English
Description
Learn all of the core mathematical topics that professional software engineers need to know--in a single book!

This book summarizes all the core mathematical topics a typical professional software engineer needs to know. In condensing the various concepts covered in an undergraduate computer science program into a single volume, it provides an excellent starting point for independent study, or a refresher for those who haven't been in a classroom for years. Early chapters cover preliminary subjects like number representation systems, set theory, and Boolean algebra, followed by a dive into the field of discrete mathematics, including functions, induction proofs, number theory, combinatorics, graphs, and trees. Later sections examine essential topics in probability, statistics, linear algebra, and calculus.

Rather than confine itself to abstract theory, the book focuses on practical applications and numerical methods at the level typically encountered by working software developers. In addition, hands-on code examples in Python and C make the topics concrete.

Author: Ronald T. Kneusel
Publisher: No Starch Press
Published: 10/29/2024
Pages: 450
Binding Type: Paperback
ISBN: 9781718503588

About the Author
Ronald T. Kneusel is a data scientist who builds deep-learning (AI) systems, as well as extensive experience with medical imaging and the development of medical devices. He earned a PhD in machine learning from the University of Colorado, Boulder, has nearly 20 years of machine learning experience in industry, and is presently pursuing deep-learning projects with L3Harris Technologies, Inc. Kneusel is also the author of Random Numbers and Computers (Springer 2018), in addition to Math for Deep Learning, Practical Deep Learning, and Strange Code--all published by No Starch Press.
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