000			03988nam a2200601Ii 4500
001			9781351128384
003			FlBoTFG
005			20220414100334.0
006			m o d
007			cr
008			190122t20182019fluab ob 001 0 eng d
020			_a9781351128384(e-book : PDF)
035			_a(OCoLC)1078875107
040			_aFlBoTFG _cFlBoTFG _erda
050		4	_aQ325.5
072		7	_aBUS _x061000 _2bisacsh
072		7	_aCOM _x021030 _2bisacsh
072		7	_aCOM _x037000 _2bisacsh
072		7	_aUN _2bicscc
082	0	4	_a006.3/1 _223
100	1		_aLarrañaga, Pedro, _eauthor.
245	1	0	_aIndustrial Applications of Machine Learning / _cby Pedro Larrañaga, David Atienza, Javier Diaz-Rozo, Alberto Ogbechie, Carlos Esteban Puerto-Santana and Concha Bielza.
250			_aFirst edition.
264		1	_aBoca Raton, FL : _bCRC Press, _c[2018].
264		4	_c©2019.
300			_a1 online resource (350 pages) : _b148 illustrations, text file, PDF.
336			_atext _2rdacontent
337			_acomputer _2rdamedia
338			_aonline resource _2rdacarrier
490	1		_aChapman & Hall/CRC Data Mining and Knowledge Discovery Series
504			_aIncludes bibliographical references and index.
505	0	0	_t1 The Fourth Industrial Revolution 2 Machine Learning 3 Applications of Machine Learning in Industrial Sectors 4 Component-Level Case Study: Remaining Useful Life of Bearings 5 Machine-Level Case Study: Fingerprint of Industrial Motors 6 Production-Level Case Study: Automated Visual Inspection of a Laser Process 7 Distribution-Level Case Study: Forecasting of Air Freight Delays.
520	3		_aIndustrial Applications of Machine Learning shows how machine learning can be applied to address real-world problems in the fourth industrial revolution, and provides the required knowledge and tools to empower readers to build their own solutions based on theory and practice. The book introduces the fourth industrial revolution and its current impact on organizations and society. It explores machine learning fundamentals, and includes four case studies that address a real-world problem in the manufacturing or logistics domains, and approaches machine learning solutions from an application-oriented point of view. The book should be of special interest to researchers interested in real-world industrial problems. Features Describes the opportunities, challenges, issues, and trends offered by the fourth industrial revolution Provides a user-friendly introduction to machine learning with examples of cutting-edge applications in different industrial sectors Includes four case studies addressing real-world industrial problems solved with machine learning techniques A dedicated website for the book contains the datasets of the case studies for the reader's reproduction, enabling the groundwork for future problem-solving Uses of three of the most widespread software and programming languages within the engineering and data science communities, namely R, Python, and Weka.
530			_aAlso available in print format.
650		0	_aMachine learning _xIndustrial applications.
650		7	_aCOMPUTERS / Database Management / Data Mining. _2bisacsh
650		7	_aCOMPUTERS / Machine Theory. _2bisacsh
650		7	_aartificial intelligence. _2bisacsh
650		7	_abig data. _2bisacsh
650		7	_adata science. _2bisacsh
650		7	_afourth industrial revoluntion. _2bisacsh
650		7	_aprogramming. _2bisacsh
655		0	_aElectronic books.
700	1		_aAtienza, David, _eauthor.
700	1		_aDiaz-Rozo, Javier, _eauthor.
700	1		_aOgbechie, Alberto, _eauthor.
700	1		_aPuerto-Santana, Carlos Esteban , _eauthor.
700	1		_aBielza, Concha, _eauthor.
710	2		_aTaylor and Francis.
776	0	8	_iPrint version: _z9780815356226
830		0	_aChapman & Hall/CRC Data Mining and Knowledge Discovery Series.
856	4	0	_uhttps://www.taylorfrancis.com/books/9781351128384 _zClick here to view
999			_c59415 _d59415