Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications (Undergraduate Topics in Computer Science)

Laura Igual,Santi Segu�

ISBN 10: 3319500163 ISBN 13: 9783319500164

Editorial: Springer March 2017, 2017

Idioma: Ingl�s

Usado Condici�n: Used Good Encuadernaci�n de tapa blanda

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Detalles bibliogr�ficos

T�tulo

Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications (Undergraduate Topics in Computer Science)

Editor

Springer March 2017

Fecha de publicaci�n

2017

Idioma

Ingl�s

ISBN 10

3319500163

ISBN 13

9783319500164

Encuadernaci�n

Trade Paperback

Estado

Used Good

Cat�logos de vendedores

Computer

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Sinopsis

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.

Acerca del autor

Dr. Laura Igual is an Associate Professor at the Departament de Matem�tiques i Inform�tica, Universitat de Barcelona, Spain. Dr. Santi Segu� is an Assistant Professor at the same institution.

The authors wish to mention that some chapters were co-written by Jordi Vitri�, Eloi Puertas, Petia Radeva, Oriol Pujol, Sergio Escalera, Francesc Dant� and Llu�s Garrido.

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