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

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About this item

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 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 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.

Genre: Computers + Internet
Series Title: Undergraduate Topics in Computer Science
Format: Paperback
Publisher: Textstream
Author: Laura Igual & Santi Seguu00ed
Language: English
Street Date: February 26, 2017
TCIN: 51999917
UPC: 9783319500164
Item Number (DPCI): 248-39-3951
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