Just the facts101 Machine learning : (Record no. 276955)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01414nam a22002057a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20150131105649.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 141211b xxu||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781490227634 |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | LB 1044.87 |
| Item number | .Sm645 2013 |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Murphy, Kevin P. |
| 245 ## - TITLE STATEMENT | |
| Title | Just the facts101 Machine learning : |
| Remainder of title | a probabilistic perspective / |
| Statement of responsibility, etc | Kevin P. Murphy. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher, distributor, etc | Cram101 Publishing, |
| Date of publication, distribution, etc | 2013. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 260 pages ; |
| Dimensions | 28 cm. |
| 440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE | |
| Title | Just the fact 101 study guide. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Cram101 Textbook Outline notebooks have been designed so you can get the most out of your class and study time. The outlines consist of all the terms, concepts, places, people organisations and events that you may expect to be tested from your textbook. The purpose of the outline format is to speed up and increase your comprehension of the material. Machine learning : a probabilistic perspective offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach. The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Machine learning. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Probabilities. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Library of Congress Classification |
| Koha item type | Books |
| Call number prefix | Foreign |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Total Checkouts | Total Renewals | Full call number | Barcode | Date last seen | Date checked out | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Library of Congress Classification | College Library | College Library | Reserve Section | 12/11/2014 | Library Fund | 1 | 1 | LB 1044.87 .S645 2013 | C19031 | 05/15/2018 | 11/17/2016 | 12/11/2014 | Books |