A first course in machine learning / (Record no. 155745)

MARC details
000 -LEADER
fixed length control field 02499cam a2200229 a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20160322165201.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 111020s2012 flua b 001 0 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781439824146 (hardback)
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 004.85
Item number ROG
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Rogers, Simon,
9 (RLIN) 1086
245 12 - TITLE STATEMENT
Title A first course in machine learning /
Statement of responsibility, etc. Simon Rogers, Mark Girolami.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. Boca Raton :
Name of publisher, distributor, etc. CRC Press,
Date of publication, distribution, etc. 2012 .
300 ## - PHYSICAL DESCRIPTION
Extent xx, 285 p. :
520 ## - SUMMARY, ETC.
Summary, etc. "Machine Learning is rapidly becoming one of the most important areas of general practice, research and development activity within Computing Sci- ence. This is re ected in the scale of the academic research area devoted to the subject and the active recruitment of Machine Learning specialists by major international banks and nancial institutions as well as companies such as Microsoft, Google, Yahoo and Amazon. This growth can be partly explained by the increase in the quantity and diversity of measurements we are able to make of the world. A particularly fascinating example arises from the wave of new biological measurement technologies that have preceded the sequencing of the first genomes. It is now possible to measure the detailed molecular state of an organism in manners that would have been hard to imagine only a short time ago. Such measurements go far beyond our understanding of these organisms and Machine Learning techniques have been heavily involved in the distillation of useful structure from them. This book is based on material taught on a Machine Learning course in the School of Computing Science at the University of Glasgow, UK. The course, presented to nal year undergraduates and taught postgraduates, is made up of 20 hour-long lectures and 10 hour-long laboratory sessions. In such a short teaching period, it is impossible to cover more than a small fraction of the material that now comes under the banner of Machine Learning. Our inten- tion when teaching this course therefore, is to present the core mathematical and statistical techniques required to understand some of the most popular Machine Learning algorithms and then present a few of these algorithms that span the main problem areas within Machine Learning: classi cation, clus- tering"--
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine learning.
9 (RLIN) 55
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element BUSINESS & ECONOMICS / Statistics.
9 (RLIN) 1087
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element COMPUTERS / General.
9 (RLIN) 1088
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element COMPUTERS / Database Management / Data Mining.
9 (RLIN) 1089
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Girolami, Mark,
9 (RLIN) 1090
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
        Department of Computer Science Department of Computer Science General Stacks 01/31/2014   004.85 ROG MCS05492 01/31/2014 03/22/2016 Books

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