000			02854nam a22003855i 4500
001			394752
003			ES-MaUEC
005			20230102123157.0
007			cr nn 008mamaa
008			220718s2022 sz | s |||| 0|eng d
020			_a9783031044205
024	7		_a10.1007/978-3-031-04420-5 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
100	1		_aFergus, Paul _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	1	0	_aApplied Deep Learning _bTools, Techniques, and Implementation _cby Paul Fergus, Carl Chalmers
250			_a1st edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XXVII, 341 páginas) _b1 illus
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aComputational Intelligence Methods and Applications _x2510-1773
505	0		_aPart 1 Introduction and Overview -- Introduction -- Part 2 Foundations of Mashine Learning -- Fundamentals of Machine Learning -- Supervised Learning -- Un-Supervised Learning -- Performance Evaluation Metrics -- Part 3 Deep Learning Concepts and Techniques -- Introduction to Deep Learning -- Image Classification and Object Detection -- Deep Learning Techniques for Time Series Modelling -- Natural Language Processing -- Deep Generative Models -- Deep Reinforcement Learning -- Part 4 Enterprise Machine Learning -- Accelerated Machine Learning -- Deploying and Hosting Machine Learning Models -- Enterprise Machine Learning Serving. .
520			_aThis book focuses on the applied aspects of artificial intelligence using enterprise frameworks and technologies. The book is applied in nature and will equip the reader with the necessary skills and understanding for delivering enterprise ML technologies. It will be valuable for undergraduate and postgraduate students in subjects such as artificial intelligence and data science, and also for industrial practitioners engaged with data analytics and machine learning tasks. The book covers all of the key conceptual aspects of the field and provides a foundation for all interested parties to develop their own artificial intelligence applications.
700	1		_aChalmers, Carl _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
776	0	8	_iPrinted edition: _z9783031044199
776	0	8	_iPrinted edition: _z9783031044212
776	0	8	_iPrinted edition: _z9783031044229
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-04420-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
988			_aSpringer_Computer_2022
999			_c394752 _d394752