000			02990nam a2200421 i 4500
999			_c121770 _d121770 _x1
001			121770
003			ES-MaUEC
005			20230102114148.0
006			a||||fo|||| 00| 0
007			cr nn nnnaamaa
008			200708s2020 gw a o |||| 0|eng d
020			_a9783030439811
024	7		_a10.1007/978-3-030-43981-1 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9.B45 _b2020 EB
245	0	0	_aPrinciples of Data Science _cedited by Hamid R. Arabnia [y otros seis]
250			_aFirst edition
264		1	_aCham _bSpringer International Publishing _c2020
300			_a1 recurso en línea (XIV, 278 páginas) _b102 ilustraciones, 55 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aTransactions on Computational Science and Computational Intelligence _x2569-7072
490	0		_aEngineering (SpringerNature-11647)
490	0		_aEngineering (R0) (SpringerNature-43712)
505	0		_aIntroduction -- Data Acquisition, Extraction, and Cleaning -- Data Summarization and Modeling -- Data Analysis and Communication Techniques -- Data Science Tools -- Deep Learning in Data Science -- Data Science Applications -- Conclusion.
520	3		_aThis book provides readers with a thorough understanding of various research areas within the field of data science. The book introduces readers to various techniques for data acquisition, extraction, and cleaning, data summarizing and modeling, data analysis and communication techniques, data science tools, deep learning, and various data science applications. Researchers can extract and conclude various future ideas and topics that could result in potential publications or thesis. Furthermore, this book contributes to Data Scientists' preparation and to enhancing their knowledge of the field. The book provides a rich collection of manuscripts in highly regarded data science topics, edited by professors with long experience in the field of data science. Introduces various techniques, methods, and algorithms adopted by Data Science experts Provides a detailed explanation of data science perceptions, reinforced by practical examples Presents a road map of future trends suitable for innovative data science research and practice.
988			_aSpringer_Engineering_03082020
650		7	_2embne _9495511 _aDatos masivos
700	1		_aArabnia, Hamid R. _eeditor literario _4http://id.loc.gov/vocabulary/relators/edt _1http://viaf.org/viaf/41210568 _9675555
776	0	8	_iPrinted edition: _z9783030439804
776	0	8	_iPrinted edition: _z9783030439828
776	0	8	_iPrinted edition: _z9783030439835
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-43981-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b08/2020 _dz _ek _zSI