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008			220405s2022 sz | s |||| 0|eng d
020			_a9783030922450
024	7		_a10.1007/978-3-030-92245-0 _2doi
040			_bspa _cES-MaUEC _dES-MaUEC
050		4	_aQ336 _b2022 EB
245	0	0	_aArtificial Intelligence for Data Science in Theory and Practice _cedited by Mohamed Alloghani, Christopher Thron, Saad Subair
250			_a1st edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XVI, 246 páginas) _b123 ilustraciones, 88 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aStudies in Computational Intelligence _x1860-9503 _v1006
505	0		_aIntroduction -- Part I: Government services -- Intelligent chat bots for online customer service -- Improved services delivery using AI -- Intelligent policing: physical crime and cybercrime prevention and detection -- Part II: Healthcare Services -- Breast cancer diagnosis -- IoT Pharmaceutical management -- Biomedical Text conversion algorithms -- Part III: Education -- Machine learning in teaching and assessment of students -- Prediction of student performance -- Training the next generation of AI students -- Part IV: Tourism and hospitality -- Landmark recognition -- Recommender system for tourists -- Part V: AI Ethics -- Ethics of facial recognition -- Ethics of robotic services -- Bias issues and misapplication of machine learning -- Conclusion.
520			_aThis book provides valuable information on effective, state-of-the-art techniques and approaches for governments, students, researchers, practitioners, entrepreneurs and teachers in the field of artificial intelligence (AI). The book explains the data and AI, types and properties of data, the relation between AI algorithms and data, what makes data AI ready, steps of data pre-processing, data quality, data storage and data platforms. Therefore, this book will be interested by AI practitioners, academics, researchers, and lecturers in computer science, artificial intelligence, machine learning and data sciences. Presents approaches to artificial intelligence taken by various sectors; Includes development-related applications in AI from around the world; Discusses AI in government, healthcare, education, tourism in addition to AI ethics.
988			_aSpringer_Engineering_2022
650		7	_2embne _aInteligencia artificial _xProceso de datos _9413115
700	1		_aAlloghani, Mohamed _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aThron, Christopher _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aSubair, Saad _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9783030922443
776	0	8	_iPrinted edition: _z9783030922467
776	0	8	_iPrinted edition: _z9783030922474
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-92245-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b12/2022 _dz _eb _zSI