Machine Learning: An Algorithmic Perspective

By:

Stephen Marsland

Material type: Text

TextSeries: Chapman & Hall/CRC machine learning & pattern recognition seriesPublication details: Boca Raton CRC Press 2009Edition: Special Indian EditionDescription: xvi, 390 pages : illustrations ; 25 cmISBN:

9781420067187

Subject(s):

Machine learning. Algorithms

DDC classification:

006.31 MAR-M

Summary: 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.

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Holdings
Item type	Current library	Home library	Call number	Status	Date due	Barcode
Book	Dept. of Computational Biology and Bioinformatics Processing Center	Dept. of Computational Biology and Bioinformatics	006.3'1 MAR-M (Browse shelf(Opens below))	Checked out to SREEJITH G (97122606004)	04/04/2023	DCB2091

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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.

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