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The Resource A first course in machine learning, Simon Rogers, Mark Girolami

A first course in machine learning, Simon Rogers, Mark Girolami

Label
A first course in machine learning
Title
A first course in machine learning
Statement of responsibility
Simon Rogers, Mark Girolami
Creator
Contributor
Subject
Language
eng
Summary
"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"
Member of
Cataloging source
DLC
http://library.link/vocab/creatorDate
1979-
http://library.link/vocab/creatorName
Rogers, Simon
Illustrations
illustrations
Index
index present
Literary form
non fiction
Nature of contents
bibliography
http://library.link/vocab/relatedWorkOrContributorDate
1963-
http://library.link/vocab/relatedWorkOrContributorName
Girolami, Mark
Series statement
Chapman & Hall/CRC machine learning & pattern recognition series
http://library.link/vocab/subjectName
Machine learning
Label
A first course in machine learning, Simon Rogers, Mark Girolami
Instantiates
Publication
Bibliography note
Includes bibliographical references and index
Contents
Linear modelling: a least squares approach -- Linear modelling: a maximum likelihood approach -- The bayesian approach to machine learning -- Bayesian inference -- Classification -- Clustering -- Principal components analysis and latent variable models
Control code
ocn758243912
Dimensions
25 cm
Extent
xx, 285 p.
Isbn
9781439824146
Isbn Type
(hardback)
Lccn
2011039389
Other physical details
ill.
System control number
(OCoLC)758243912
Label
A first course in machine learning, Simon Rogers, Mark Girolami
Publication
Bibliography note
Includes bibliographical references and index
Contents
Linear modelling: a least squares approach -- Linear modelling: a maximum likelihood approach -- The bayesian approach to machine learning -- Bayesian inference -- Classification -- Clustering -- Principal components analysis and latent variable models
Control code
ocn758243912
Dimensions
25 cm
Extent
xx, 285 p.
Isbn
9781439824146
Isbn Type
(hardback)
Lccn
2011039389
Other physical details
ill.
System control number
(OCoLC)758243912

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