{"product_id":"math-for-programming","title":"Math for Programming","description":"\u003cp\u003eThis 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.\u003c\/p\u003e\u003cp\u003eRather 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.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eABOUT THE AUTHOR\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eRonald T. Kneusel\u003c\/b\u003e 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 \u003cem\u003eRandom Numbers and Computers\u003c\/em\u003e (Springer 2018), in addition to \u003cem\u003eMath for Deep Learning\u003c\/em\u003e, \u003cem\u003ePractical Deep Learning\u003c\/em\u003e, and \u003cem\u003eStrange Code\u003c\/em\u003e—all published by No Starch Press.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eTable of contents \u003c\/strong\u003e\u003cbr\u003eIntroduction\u003cbr\u003eChapter 1. Computers and Numbers\u003cbr\u003eChapter 2. Sets and Abstract Algebra\u003cbr\u003eChapter 3. BooleanAlgebra\u003cbr\u003eChapter 4. Functions and Relations\u003cbr\u003eChapter 5. Induction\u003cbr\u003eChapter 6. Recurrence and Recursion\u003cbr\u003eChapter 7. Number Theory\u003cbr\u003eChapter 8. Counting and Combinatorics\u003cbr\u003eChapter 9. Graphs\u003cbr\u003eChapter 10. Trees\u003cbr\u003eChapter 11. Probability\u003cbr\u003eChapter 12. Statistics\u003cbr\u003eChapter 13. LinearAlgebra\u003cbr\u003eChapter 14. More Linear Algebra\u003cbr\u003eChapter 15. Differential Calculus\u003cbr\u003eChapter 16. Integral Calculus\u003cbr\u003eChapter 17. Differential Equations\u003c\/p\u003e","brand":"No Starch Press","offers":[{"title":"Paperback","offer_id":50506312777798,"sku":"9781718503588","price":4186.0,"currency_code":"INR","in_stock":true},{"title":"E-Book","offer_id":50506312810566,"sku":"9781718503588-2","price":3939.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/Math_for_Programming_cover_placeholder.webp?v=1790326466","url":"https:\/\/cb-india.com\/products\/math-for-programming","provider":"Computer Bookshop (India) Pvt Ltd","version":"1.0","type":"link"}