Mathematics for machine learning / (Record no. 66691)
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000 -LEADER | |
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fixed length control field | 01682nam a22001577a 4500 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 210715b2020 ||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9781108455145 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 006.31 DEI-M |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Deisenroth, Marc Peter |
245 ## - TITLE STATEMENT | |
Title | Mathematics for machine learning / |
Statement of responsibility, etc. | Marc Peter Deisenroth, A. Aldo Faisal and Cheng Soon Ong |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Place of publication, distribution, etc. | United kingdom |
Name of publisher, distributor, etc. | Cambridge University Press |
Date of publication, distribution, etc. | 2020 |
300 ## - PHYSICAL DESCRIPTION | |
Extent | 371 p. |
365 ## - TRADE PRICE | |
Price type code | GBP |
Price amount | 35.99. |
Unit of pricing | 36.99 |
500 ## - GENERAL NOTE | |
General note | 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 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 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 website. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Machine learning -- Mathematics. |
952 ## - LOCATION AND ITEM INFORMATION (KOHA) | |
Withdrawn status | |
952 ## - LOCATION AND ITEM INFORMATION (KOHA) | |
Withdrawn status | |
952 ## - LOCATION AND ITEM INFORMATION (KOHA) | |
Withdrawn status | |
952 ## - LOCATION AND ITEM INFORMATION (KOHA) | |
Withdrawn status | |
365 ## - TRADE PRICE | |
-- | 41918 |
-- | 17602 |
-- | Great Britain Pound |
-- | 23.05.2023 |
-- | 27.05.2023 |
Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Shelving location | Date acquired | Total Checkouts | Total Renewals | Full call number | Barcode | Checked out | Date last seen | Date last checked out | Price effective from | Koha item type | Public note | Cost, normal purchase price |
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Dewey Decimal Classification | 003-007 | BITS Pilani Hyderabad | BITS Pilani Hyderabad | Text & Reference Section (Student cannot borrow these books) | 15/07/2021 | 6 | 5 | 006.31 DEI-M | 42508 | 17/12/2024 | 01/05/2024 | 01/05/2024 | 15/07/2021 | Course Text Book | DST Project Book | ||||
Dewey Decimal Classification | 003-007 | BITS Pilani Hyderabad | BITS Pilani Hyderabad | Text & Reference Section (Student cannot borrow these books) | 23/02/2023 | 4 | 1 | 006.31 DEI-M | 47106 | 04/10/2025 | 07/04/2025 | 07/04/2025 | 23/02/2023 | Course Text Book | 36.99 | ||||
Dewey Decimal Classification | 003-007 | BITS Pilani Hyderabad | BITS Pilani Hyderabad | Text & Reference Section (Student cannot borrow these books) | 07/03/2023 | 4 | 1 | 006.31 DEI-M | 47104 | 12/08/2025 | 16/05/2025 | 16/05/2025 | 07/03/2023 | Course Text Book | |||||
Dewey Decimal Classification | 003-007 | BITS Pilani Hyderabad | BITS Pilani Hyderabad | Text & Reference Section (Student cannot borrow these books) | 07/03/2023 | 2 | 006.31 DEI-M | 47105 | 12/08/2025 | 07/02/2025 | 07/02/2025 | 07/03/2023 | Course Text Book |