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Mathematics for Machine Learning Marc Peter Deisenroth Paperback 9781108455145

JNC Books
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£20.89
Condition:
Very Good
Unused and unread, cosmetic imperfections such as scuffs, creases or knocks. Stamped 'damaged' by ... Read moreAbout condition
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Item specifics

Condition
Very Good
A book that has been read and does not look new, but is in excellent condition. No obvious damage to the book cover, with the dust jacket (if applicable) included for hard covers. No missing or damaged pages, no creases or tears, no underlining or highlighting of text, and no writing in the margins. Some identifying marks on the inside cover, but this is minimal. Very little wear and tear. See the seller’s listing for full details and description of any imperfections. See all condition definitionsopens in a new window or tab
Seller notes
“Unused and unread, cosmetic imperfections such as scuffs, creases or knocks. Stamped 'damaged' by ...
BIC Subject Area 1
Pattern recognition [UYQP]
BIC Subject Area 2
Machine learning [UYQM]
BIC Subject Area 3
Maths for engineers [TBJ]
BIC Subject Area 4
Probability & statistics [PBT]
ISBN
9781108455145
Publication Year
2020
Type
Textbook
Format
Paperback
Language
English
Publication Name
Mathematics for Machine Learning
Item Height
252 mm
Author
Cheng Soon Ong, Marc Peter Deisenroth, A. Aldo Faisal
Publisher
Cambridge University Press
Subject
Engineering & Technology, Computer Science, Mathematics
Item Weight
800 g
Item Width
177 mm
Number of Pages
398 Pages

About this product

Product Information

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.

Product Identifiers

Publisher
Cambridge University Press
ISBN-13
9781108455145
eBay Product ID (ePID)
12046501904

Product Key Features

Number of Pages
398 Pages
Publication Name
Mathematics for Machine Learning
Language
English
Subject
Engineering & Technology, Computer Science, Mathematics
Publication Year
2020
Type
Textbook
Author
Cheng Soon Ong, Marc Peter Deisenroth, A. Aldo Faisal
Format
Paperback

Dimensions

Item Height
252 mm
Item Weight
800 g
Item Width
177 mm

Additional Product Features

Country/Region of Manufacture
United Kingdom
Title_Author
A. Aldo Faisal, Marc Peter Deisenroth, Cheng Soon Ong

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JNC Books

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