Date : 2024
Type : Livre / Book
Langue / Language : anglais / English
ISBN : 978-3-031-48955-6
EAN : 9783031489556
Reconnaissance des formes (informatique)
Classification Dewey : 006.312
Collection : Undergraduate topics in computer science / London : Springer , 2007-
Résumé / Abstract : This textbook presents an introduction to the fundamentals of theinterdisciplinary field of data science. The coverage spans key concepts adopted from statistics and machine / deep learning and responsible data science, useful techniques for network analysis and natural language processing, and practical applications of data science surch as recommender systems or sentime,t 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, 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. This practically-focused textbook provides an ideal introduction to the field for upper-tier undergraduate and beginning graduate students from computer science, mathematics, statistics, and other technical disciplines.