01708nam a22002537a 450000500170000000800410001702000180005802000150007604000130009108200190010410000170012324501310014025000120027126000280028330000160031149000450032750000500037252009400042254600080136265000160137065000280138665000240141470000160143820260410120033.0260410m20242017|||||||| |||| 00| 0 eng d  a9783031489556  a303148956X  cPK-LaUMT  a006.312bIGU-I1 aIgual, Laura10aIntroduction to data science :ba Python approach to concepts, techniques and applications /cby Laura Igual and Santi Seguí  a2nd ed.  aCham :bSpringer,c2024  axiv, 246 p.  aUndergraduate topics in computer science  aIncludes bibliographical references and index  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.  aEng  aData mining  aArtificial intelligence  aPattern Recognition  aSanti Segui