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Mathematics for Machine Learning Marc Peter Deisenroth Paperback 9781108455145
GBP 20.89
ApproximatelyPHP 1,575.21
Condition:
“Unused and unread, cosmetic imperfections such as scuffs, creases or knocks. Stamped 'damaged' by ”... Read moreabout condition
Very Good
A book that has been read but is in excellent condition. No obvious damage to the cover, with the dust jacket included for hard covers. No missing or damaged pages, no creases or tears, and no underlining/highlighting of text or writing in the margins. May be very minimal identifying marks on the inside cover. Very minimal wear and tear.
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GBP 15.04 (approx PHP 1,134.09) Royal Mail International Tracked.
Located in: AL7 1AD, United Kingdom
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Estimated between Fri, 13 Jun and Mon, 23 Jun to 94104
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30 days return. Buyer pays for return shipping. If you use an eBay shipping label, it will be deducted from your refund amount.
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eBay item number:236128974910
Item specifics
- Condition
- Very Good
- Seller Notes
- 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
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
Format
Paperback
Dimensions
Item Height
252 mm
Item Weight
800 g
Item Width
177 mm
Additional Product Features
Country/Region of Manufacture
United Kingdom
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