000			01202nam a2200169Ia 4500
999			_c295300 _d295300
020			_a9781420067187
082			_a006.31 MAR-M
100			_a Stephen Marsland
245			_aMachine Learning: An Algorithmic Perspective
250			_aSpecial Indian Edition
260			_a Boca Raton _bCRC Press _c2009
300			_a xvi, 390 pages : illustrations ; 25 cm.
490			_a Chapman & Hall/CRC machine learning & pattern recognition series.
520			_aWritten 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			_aMachine learning. Algorithms.
942			_cBK