000			01286nam a22001937a 4500
005			20241118203358.0
008			241118b |||||||| |||| 00| 0 eng d
020			_a9780000988898
082			_a006.312 _bSIM
100			_aSimovici, Dan _918711
245			_aMathematical analysis for machine learning and data mining
260			_bWorld Scientific Publishing _aSingapore _c2023
300			_axv, 968 p.
365			_aINR _b1895.00
520			_aThis compendium provides a self-contained introduction to mathematical analysis in the field of machine learning and data mining. The mathematical analysis component of the typical mathematical curriculum for computer science students omits these very important ideas and techniques which are indispensable for approaching specialized area of machine learning centered around optimization such as support vector machines, neural networks, various types of regression, feature selection, and clustering. The book is of special interest to researchers and graduate students who will benefit from these application areas discussed in the book. (https://www.worldscientific.com/worldscibooks/10.1142/10702#t=aboutBook)
650			_aData mining -- Mathematics _918712
650			_aMachine learning -- Mathematics _918713
942			_cBK _2ddc
999			_c7842 _d7842