Machine Learning: An Algorithmic Perspective

Written in an easily accessible style, this book provides the idealblend of theory and practical, applicable knowledge. It covers neuralnetworks, graphical models, reinforcement learning, evolutionaryalgorithms, dimensionality reduction methods, and the important areaof optimization. It treads the f...

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Bibliografiska uppgifter
Huvudupphovsman: Stephen Marsland
Materialtyp: Printed Book
Publicerad: Boca Raton CRC Press 2009
Upplaga:Special Indian Edition
Serie:Chapman & Hall/CRC machine learning & pattern recognition series.
Ämnen:
Machine learning. Algorithms.
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100 |a  Stephen Marsland 
245 |a Machine Learning: An Algorithmic Perspective 
250 |a Special Indian Edition 
260 |a  Boca Raton  |b CRC Press  |c 2009 
300 |a  xvi, 390 pages : illustrations ; 25 cm. 
490 |a  Chapman & Hall/CRC machine learning & pattern recognition series. 
520 |a Written in an easily accessible style, this book provides the idealblend of theory and practical, applicable knowledge. It covers neuralnetworks, graphical models, reinforcement learning, evolutionaryalgorithms, dimensionality reduction methods, and the important areaof optimization. It treads the fine line between adequate academicrigor and overwhelming students with equations and mathematicalconcepts. The author includes examples based on widely availabledatasets and practical and theoretical problems to test understandingand application of the material. The book describes algorithms withcode examples backed up by a website that provides workingimplementations in Python. 
650 |a Machine learning. Algorithms. 
942 |c BK 
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