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Mathematics for Machine Learning Deisenroth Faisal Ong Paperback 9781108455145
£35.39
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Located in: AL7 1AD, United Kingdom
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eBay item number:394441743340
Item specifics
- Condition
- 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
- 252mm
- Publisher
- Cambridge University Press
- Item Width
- 177mm
- Subject
- Engineering & Technology, Computer Science, Mathematics
- Item Weight
- 800g
- 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
Publication Name
Mathematics for Machine Learning
Format
Paperback
Language
English
Subject
Engineering & Technology, Computer Science, Mathematics
Publication Year
2020
Type
Textbook
Number of Pages
398 Pages
Dimensions
Item Height
252mm
Item Width
177mm
Item Weight
800g
Additional Product Features
Country/Region of Manufacture
United Kingdom
Item description from the seller
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PARTRAD LIMITED
Jonathan Parkins
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