000			02390cam a22003498i 4500
001			22451614
003			OSt
005			20231229123817.0
008			220303s2022 enk b 001 0 eng
010			_a 2022010244
020			_a9781316512821 (hardback)
040			_aDLC _beng _erda _cDLC
042			_apcc
082	0	0	_a620.00285
100	1		_aSimeone, Osvaldo, _eauthor.
245	1	0	_aMachine learning for engineers : _bprinciples and algorithms through signal processing and information theory / _cOsvaldo Simeone, King's College London.
250			_aFirst edition.
263			_a2205
264		1	_aCambridge ; _aNew York, NY : _bCambridge University Press, _c©2022.
300			_axxii, 578 pages : _c28 cm.
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
504			_aIncludes bibliographical references and index.
520			_a"This self-contained introduction to machine learning, designed from the start with engineers in mind, will equip students with everything they need to start applying machine learning principles and algorithms to real-world engineering problems. With a consistent emphasis on the connections between estimation, detection, information theory, and optimization, it includes : accessible overview of the relationships between machine learning and signal processing, providing a solid foundation for further study, clear explanations of the differences between state-of-the-art techniques and more classical methods, equipping students with all the understanding they need to make informed technique choices, demonstration of the links between information-theoretical concepts and their practical engineering relevance, and reproducible examples using Matlab, enabling hands-on student experimentation. Assuming only a basic understanding of probability and linear algebra, and accompanied by lecture slides and solutions for instructors, this is the ideal introduction to machine learning for engineering students of all disciplines"-- _cProvided by publisher.
650		0	_aEngineering _xData processing.
650		0	_aMachine learning.
650		7	_aTECHNOLOGY & ENGINEERING / Signals & Signal Processing _2bisacsh
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cBK _n0
999			_c484955 _d484955