000			01778nam a22002777a 4500
005			20260410120033.0
008			260410m20242017|||||||| |||| 00| 0 eng d
020			_a9783031489556
020			_a303148956X
040			_cPK-LaUMT
082			_a006.312 _bIGU-I
100	1		_aIgual, Laura _910863
245	1	0	_aIntroduction to data science : _ba Python approach to concepts, techniques and applications / _cby Laura Igual and Santi Seguí
250			_a2nd ed.
260			_aCham : _bSpringer, _c2024
300			_axiv, 246 p.
490			_aUndergraduate topics in computer science
500			_aIncludes bibliographical references and index
520			_aThis textbook presents an introduction to the fundamentals of the interdisciplinary field of data science. The coverage spans key concepts from statistics, machine/deep learning and responsible data science, useful techniques for network analysis and natural language processing, and practical applications of data science such as recommender systems or sentiment analysis. Topics and features: Provides numerous practical case studies using real-world data throughout the book Supports understanding through hands-on experience of solving data science problems using Python Describes concepts, techniques and tools for statistical analysis, machine learning, graph analysis, natural language processing, deep learning and responsible data science Reviews a range of applications of data science, including recommender systems and sentiment analysis of text data Provides supplementary code resources and data at an associated website.
546			_aEng
650			_aData mining
650			_aArtificial intelligence
650			_aPattern Recognition _910864
700			_aSanti Segui _910865
942			_cBK
999			_c140484 _d140484