The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.

The noted expert selects 70 of his favorite "short" puzzles, including such mind-bogglers as The Returning Explorer, The Mutilated Chessboard, Scrambled Box Tops, and dozens more involving logic and basic math. Solutions included.

USA TODAY Bestseller! Scarlett Goodwin’s world is divided into Before and After. Before she agreed to tutor Tucker Price, college junior Scarlett was introvert, struggling with her social anxiety and determined to not end up living in a trailer park like her mother and her younger sister. A mathematics major, she goes to her classes, to her job in the tutoring lab, and then hides in the apartment she shares with her friend, Caroline. After junior Tucker Price, Southern University’s star soccer player enters the equation, her carefully plotted life is thrown off its axis. Tucker’s failing his required College Algebra class. With his eligibility is at risk, the university chancellor dangles an expensive piece of computer software for the math department if Scarlett agrees to privately tutor him. Tucker’s bad boy, womanizer reputation makes Scarlett wary of any contact, let alone spending several hours a week in close proximity. But from her first encounter, she realizes Tucker isn’t the person everyone else sees. He carries a mountain of secrets which she suspects hold the reason to his self-destructive behavior. But the deeper she delves into the cause of his pain, the deeper she gets sucked into his chaos. Will Scarlett find the happiness she’s looking for, or will she be caught in Tucker’s aftermath?

Though it incorporates much new material, this new edition preserves the general character of the book in providing a collection of solutions of the equations of diffusion and describing how these solutions may be obtained.

The Maths Mate Rose Student Pad is part of the popular Maths Mate Program, which was originally published in 1995. The program's success over more than two decades is due to its unique design, allowing the review and gradual development of basic skills.

This book covers elementary discrete mathematics for computer science and engineering. It emphasizes mathematical definitions and proofs as well as applicable methods. Topics include formal logic notation, proof methods; induction, well-ordering; sets, relations; elementary graph theory; integer congruences; asymptotic notation and growth of functions; permutations and combinations, counting principles; discrete probability. Further selected topics may also be covered, such as recursive definition and structural induction; state machines and invariants; recurrences; generating functions.