Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications

by Laura Igual, Santi Segui, Jordi Vitrià (Contributor)

This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the emerging and interdisciplinary field of data science. The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel programming, and the practical application of data science for such tasks as building recommender systems or performing sentiment analysis. Topics and 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 techniques and tools for statistical analysis, machine learning, graph analysis, and parallel programming; 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.

Genres: Programming, Nonfiction

351 pages, Kindle Edition

Published February 22, 2017

Reviews

[Marc Soler]

Com amb l'altre de ML, no l'he acabat però les parts en les que estava interessat ja estan llegides

[Mills College Library]

001.42 I249 2017