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Introduction to pattern recognition and machine learning / M Narasimha Murty, Der V Susheela Devi New Jersey : World Scientific, 2015383tr. ; 24cm.This book adopts a detailed and methodological algorithmic approach to explain the concepts of pattern recognition; while the text provides a systematic account of its major topics such as pattern representation and nearest neighbour based classifiers, current topics -- neural networks, support vector machines and decision trees -- attributed to the recent vast progress in this field are also dealt with; introduction to Pattern Recognition and Machine Learning will equip readers, especially senior computer science undergraduates, with a deeper understanding of the subject matter.
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Machine learning for financial engineering / Laszlo Gyorfi, Gyorgy Ottucsak, Harro Walk London : Imperial College Press, 2012250tr. ; 23cm.This volume investigates algorithmic methods based on machine learning in order to design sequential investment strategies for financial markets. Such sequential investment strategies use information collected from the market's past and determine, at the beginning of a trading period, a portfolio; that is, a way to invest the currently available capital among the assets that are available for purchase or investment.The aim is to produce a self-contained text intended for a wide audience, including researchers and graduate students in computer science, finance, statistics, mathematics, and engineering.
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