000			01124 a2200181 4500
020			_a9789813229686
040			_cIIT Kanpur
041			_aeng
082			_a006.3 _bSi57m
100			_aSimovici, Dan
245			_aMathematical analysis for machine learning and data mining _cDan Simovici
260			_bWorld Scientific _c2018 _aNew Jersey
300			_axv, 968p
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.
650			_aMachine learning - Mathematics
650			_aData mining - Mathematics
942			_cBK
999			_c559686 _d559686