Easy Geography of the World, Etc PDF Download
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Author: M. L. S. Dale
Publisher:
ISBN:
Category :
Languages : en
Pages : 200
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Author: M. L. S. Dale
Publisher:
ISBN:
Category :
Languages : en
Pages : 200
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Author: Sir Philip MAGNUS
Publisher:
ISBN:
Category :
Languages : en
Pages : 346
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Author: Marc Peter Deisenroth
Publisher: Cambridge University Press
ISBN: 1108569323
Category : Computers
Languages : en
Pages : 392
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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.
Author: James Gray (Teacher at Dundee.)
Publisher:
ISBN:
Category :
Languages : en
Pages : 128
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Author:
Publisher:
ISBN:
Category : Education
Languages : en
Pages : 654
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Author: Henry G. C. SMITH
Publisher:
ISBN:
Category :
Languages : en
Pages : 78
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Author: Henry G. C. SMITH
Publisher:
ISBN:
Category :
Languages : en
Pages : 60
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Author: David Beveridge Mair
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 504
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Author: Paolo Aluffi
Publisher: American Mathematical Soc.
ISBN: 147046571X
Category : Education
Languages : en
Pages : 713
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Book Description
Algebra: Chapter 0 is a self-contained introduction to the main topics of algebra, suitable for a first sequence on the subject at the beginning graduate or upper undergraduate level. The primary distinguishing feature of the book, compared to standard textbooks in algebra, is the early introduction of categories, used as a unifying theme in the presentation of the main topics. A second feature consists of an emphasis on homological algebra: basic notions on complexes are presented as soon as modules have been introduced, and an extensive last chapter on homological algebra can form the basis for a follow-up introductory course on the subject. Approximately 1,000 exercises both provide adequate practice to consolidate the understanding of the main body of the text and offer the opportunity to explore many other topics, including applications to number theory and algebraic geometry. This will allow instructors to adapt the textbook to their specific choice of topics and provide the independent reader with a richer exposure to algebra. Many exercises include substantial hints, and navigation of the topics is facilitated by an extensive index and by hundreds of cross-references.
Author: a Melrose (Arithmetician)
Publisher:
ISBN:
Category :
Languages : en
Pages : 286
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