Author: American Mathematical SocietyPublisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 596
Book Description
Bulletin of the American Mathematical Society
Author: American Mathematical SocietyPublisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 596
Book Description
A key to the matriculation course of mathematics [&c.].
![A key to the matriculation course of mathematics [&c.]. PDF](https://books.google.com/books/content/images/frontcover/6kwDAAAAQAAJ?fife=w80-h100)
Author: Thomas KimberMatriculation Mathematics Exercises
Author: Publisher:
ISBN: 9780851792583
Category : Mathematics
Languages : en
Pages : 82
Book Description
The English Catalogue of Books ...: 1801-1836. Ed. and comp. by R.A. Peddie and Q. Waddington. 1914
Author: Reference Catalogue of Current Literature
Author: Further Pure Mathematics
Author: Linda BostockPublisher: Nelson Thornes
ISBN: 9780859501033
Category : Juvenile Nonfiction
Languages : en
Pages : 758
Book Description
This volume continues the work covered in Core Maths or Mathematics - The Core Course for Advanced Level to provide a full two-year course in Pure Mathematics for A-Level.
Mathematics for Machine Learning
Author: Marc Peter DeisenrothPublisher: Cambridge University Press
ISBN: 1108569323
Category : Computers
Languages : en
Pages : 392
Book Description
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.
Bulletin (new Series) of the American Mathematical Society
Author: The English Catalogue of Books ...
Author: Sampson LowPublisher:
ISBN:
Category : English literature
Languages : en
Pages : 292
Book Description
Author: