01778nam a22002777a 4500 20260410120033.0 260410m20242017|||||||| |||| 00| 0 eng d 9783031489556 303148956X PK-LaUMT 006.312 IGU-I Igual, Laura 10863 Introduction to data science : a Python approach to concepts, techniques and applications / by Laura Igual and Santi Seguí 2nd ed. Cham : Springer, 2024 xiv, 246 p. Undergraduate topics in computer science Includes bibliographical references and index This 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. Eng Data mining Artificial intelligence Pattern Recognition 10864 Santi Segui 10865 BK 140484 140484 0 0 0 0 01 01 2026-04-10 0 006.312 IGU-I 152246 2026-04-10 12:00:44 2026-04-10 BK