000			01643nam a22002417a 4500
999			_c5137 _d5137
005			20230313114919.0
008			230313b ||||| |||| 00| 0 eng d
020			_a9783031169892
082			_a006.31 _bMOR
100			_aMorr, Christo El _912151
245			_aMachine learning for practical decision making: _ba multidisciplinary perspective with applications from healthcare, engineering and business analytics
260			_bSpringer _aSwitzerland _c2022
300			_axvii, 465 p.
365			_aEURO _b109.99
520			_aThis book provides a hands-on introduction to Machine Learning (ML) from a multidisciplinary perspective that does not require a background in data science or computer science. It explains ML using simple language and a straightforward approach guided by real-world examples in areas such as health informatics, information technology, and business analytics. The book will help readers understand the various key algorithms, major software tools, and their applications. Moreover, through examples from the healthcare and business analytics fields, it demonstrates how and when ML can help them make better decisions in their disciplines. The book is chiefly intended for undergraduate and graduate students who are taking an introductory course in machine learning. It will also benefit data analysts and anyone interested in learning ML approaches.
650			_aMachine Learning _92343
650			_aData Preprocessing _912152
650			_aData Visualization _912153
700			_aJammal, Manar _912154
700			_aAli-Hassan, Hossam _912155
700			_aEI-Hallak, , Walid _912156
942			_2ddc _cBK