Mathematics Catalog 2005
Author : Neil Thomson
Publisher :
Page : 92 pages
File Size : 34,5 MB
Release : 2004-10
Category :
ISBN : 9780534420420
Author : Neil Thomson
Publisher :
Page : 92 pages
File Size : 34,5 MB
Release : 2004-10
Category :
ISBN : 9780534420420
Author : Marc Peter Deisenroth
Publisher : Cambridge University Press
Page : 392 pages
File Size : 45,92 MB
Release : 2020-04-23
Category : Computers
ISBN : 1108569323
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.
Author : F. J. Camm
Publisher : Courier Corporation
Page : 242 pages
File Size : 11,10 MB
Release : 2003-10-01
Category : Mathematics
ISBN : 0486432254
Readers wishing to extend their mathematical skills will find this volume a practical companion. Easy-to-follow explanations cover fractions, decimals, square roots, metric system, algebra, more. 195 figures. 1943 edition.
Author : Ron Larson
Publisher : McDougal Littel
Page : 0 pages
File Size : 27,32 MB
Release : 2004-08-13
Category : Mathematics
ISBN : 9780618508174
Author : Alexander Barvinok
Publisher : American Mathematical Soc.
Page : 378 pages
File Size : 44,48 MB
Release : 2002-11-19
Category : Mathematics
ISBN : 0821829688
Convexity is a simple idea that manifests itself in a surprising variety of places. This fertile field has an immensely rich structure and numerous applications. Barvinok demonstrates that simplicity, intuitive appeal, and the universality of applications make teaching (and learning) convexity a gratifying experience. The book will benefit both teacher and student: It is easy to understand, entertaining to the reader, and includes many exercises that vary in degree of difficulty. Overall, the author demonstrates the power of a few simple unifying principles in a variety of pure and applied problems. The prerequisites are minimal amounts of linear algebra, analysis, and elementary topology, plus basic computational skills. Portions of the book could be used by advanced undergraduates. As a whole, it is designed for graduate students interested in mathematical methods, computer science, electrical engineering, and operations research. The book will also be of interest to research mathematicians, who will find some results that are recent, some that are new, and many known results that are discussed from a new perspective.
Author : Larry Wasserman
Publisher : Springer Science & Business Media
Page : 446 pages
File Size : 47,93 MB
Release : 2013-12-11
Category : Mathematics
ISBN : 0387217363
Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.
Author : Ron Larson
Publisher : McDougal Littell/Houghton Mifflin
Page : 864 pages
File Size : 35,85 MB
Release : 2004-08
Category : Education
ISBN : 9780618508143
Author : Charles Robert Hadlock
Publisher : Mathematical Association of America (MAA)
Page : 284 pages
File Size : 45,82 MB
Release : 2005
Category : Mathematics
ISBN :
Publisher description: This book looks at the wide variety of ways in which math, statistics, and math education teachers have incorporated service-learning into their courses. These projects are not just stand-alone community service initiatives, but rather they specifically target the improvement of mathematics skills and insights of the college students in the courses with which they are associated. In some cases, the projects are the major focus of the courses. In others, they may range from an essential component to one of several options. The book also speculates about heretofore untapped possibilities for service-learning, even including courses in pure mathematics. College faculty often may not fully appreciate the wide range of support mechanisms for such ventures even within their own institutions, so the book includes a lengthy chapter on the details of converting a rough idea to a solid action plan, sometimes even picking up financial support and other often unexpected benefits along the way. Creative teachers rarely implement a project in exactly the same way as a colleague might have, so the emphasis here is to display a wide range of successful projects in order to encourage readers to develop some of their own.
Author : Alpha Science International, Limited
Publisher :
Page : pages
File Size : 27,22 MB
Release : 2005-03-01
Category :
ISBN : 9781842652688
Author : John Stillwell
Publisher : Springer Science & Business Media
Page : 240 pages
File Size : 32,31 MB
Release : 2005-08-09
Category : Mathematics
ISBN : 0387255303
This book is unique in that it looks at geometry from 4 different viewpoints - Euclid-style axioms, linear algebra, projective geometry, and groups and their invariants Approach makes the subject accessible to readers of all mathematical tastes, from the visual to the algebraic Abundantly supplemented with figures and exercises