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008			220311s2022 sz a o |||| 0|eng d
020			_a9783030910068
024	7		_a10.1007/978-3-030-91006-8 _2doi
040			_bspa _cES-MaUEC _dES-MaUEC
050		4	_aQ325.5 _b2022 EB
245	0	0	_aMachine Learning and Artificial Intelligence with Industrial Applications : _bFrom Big Data to Small Data _cedited by Diego Carou, Antonio Sartal, J. Paulo Davim
250			_a1st edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (IX, 211 páginas) _b79 ilustraciones, 65 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aManagement and Industrial Engineering _x2365-0540
505	0		_aA Note on Big Data and Value Creation -- Modern Machine Learning: Applications and Methods -- Decision Support System Based on Deep Learning for Improving The Quality Control Task of Rifles: A Case Study In Industry 4.0 -- Title: Ml & Ai Application for The Automotive Industry -- Application of Machine Learning and Big-Data Techniques to Quality Control and Food Safety In The Industrial Production of Food and Beverages.
520			_aThis book presents the tools used in machine learning (ML) and the benefits of using such tools in facilities. It focus on real life business applications, explaining the most popular algorithms easily and clearly without the use of calculus or matrix/vector algebra. Replete with case studies, this book provides a working knowledge of ML current and future capabilities and the impact it will have on every business. It demonstrates that it is also possible to carry out successful ML and AI projects in any manufacturing plant, even without fully fulfilling the five V (Volume, Velocity, Variety, Veracity and Value) usually associated with big data. This book takes a closer look at how AI and ML are also able to work for industrial area, as well as how you could adapt some of the standard tips and techniques (usually for big data) for your own needs in your SME. Organizations which first understand these tools and know how to use them will benefit at the expense of their rivals.
988			_aSpringer_Engineering_2022
650		7	_2embne _9166090 _aAprendizaje automático
700	1		_aCarou, Diego _eeditor literario _0(orcid)0000-0002-6395-304X _1https://orcid.org/0000-0002-6395-304X _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aSartal, Antonio _eeditor literario _0(orcid)0000-0001-6827-134X _1https://orcid.org/0000-0001-6827-134X _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aDavim, J. Paulo _eeditor literario _0(orcid)0000-0002-5659-3111 _1https://orcid.org/0000-0002-5659-3111 _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9783030910051
776	0	8	_iPrinted edition: _z9783030910075
776	0	8	_iPrinted edition: _z9783030910082
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-91006-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b11/2022 _dz _eb _zSI