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020			_a9783030910068
024	7		_a10.1007/978-3-030-91006-8 _2doi
040			_aTR-AnTOB _beng _erda _cTR-AnTOB
041			_aeng
050		4	_aTA347.A78
072		7	_aTGP _2bicssc
072		7	_aTEC009060 _2bisacsh
072		7	_aTGP _2thema
090			_aTA347.A78EBK
245	1	0	_aMachine Learning and Artificial Intelligence with Industrial Applications _h[electronic resource] : _bFrom Big Data to Small Data / _cedited by Diego Carou, Antonio Sartal, J. Paulo Davim.
250			_a1st ed. 2022.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2022.
300			_a1 online resource
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_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.
650		0	_aIndustrial engineering.
650		0	_aProduction engineering.
650		0	_aMachine learning.
650		0	_aArtificial intelligence.
650	1	4	_aIndustrial and Production Engineering.
650	2	4	_aMachine Learning.
650	2	4	_aArtificial Intelligence.
653		0	_aArtificial intelligence -- Industrial applications
653		0	_aMachine learning -- Industrial applications
700	1		_aCarou, Diego. _eeditor. _0(orcid)0000-0002-6395-304X _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aSartal, Antonio. _eeditor. _0(orcid)0000-0001-6827-134X _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aDavim, J. Paulo. _eeditor. _0(orcid)0000-0002-5659-3111 _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink (Online service)
830		0	_aManagement and Industrial Engineering, _x2365-0540
856	4	0	_uhttps://doi.org/10.1007/978-3-030-91006-8 _3Springer eBooks _zOnline access link to the resource
942			_2lcc _cEBK