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Machine Learning: An Algorithmic Perspective

By: Material type: TextTextSeries: 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): 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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Item type Current library Home library Call number Status Date due Barcode
Book Book Dept. of Computational Biology and Bioinformatics Processing Center Dept. of Computational Biology and Bioinformatics 006.3'1 MAR-M (Browse shelf(Opens below)) Available DCB2091

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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