EAN: 9783031489556

INTRODUCTION TO DATA SCIENCE - LAURA IGUAL SANT...

This accessible and classroom-tested textbook reference 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 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. The work is also eminently suitable for professionals on continuous education
short courses  and to researchers following self-study courses.

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