Introduction to Data Science A Python Approach to Concepts, Tech
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 techniqu
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Laura Igual · Santi Seguí
Introduction to Data Science A Python Approach to Concepts, Techniques and Applications
Undergraduate Topics in Computer Science Series editor Ian Mackie
Advisory Board Samson Abramsky, University of Oxford, Oxford, UK Karin Breitman, Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro, Brazil Chris Hankin, Imperial College London, London, UK Dexter Kozen, Cornell University, Ithaca, USA Andrew Pitts, University of Cambridge, Cambridge, UK Hanne Riis Nielson, Technical University of Denmark, Kongens Lyngby, Denmark Steven Skiena, Stony Brook University, Stony Brook, USA Iain Stewart, University of Durham, Durham, UK
Undergraduate Topics in Computer Science (UTiCS) delivers high-quality instructional content for undergraduates studying in all areas of computing and information science. From core foundational and theoretical material to final-year topics and applications, UTiCS books take a fresh, concise, and modern approach and are ideal for self-study or for a one- or two-semester course. The texts are all authored by established experts in their fields, reviewed by an international advisory board, and contain numerous examples and problems. Many include fully worked solutions.
More information about this series at http://www.springer.com/series/7592
Laura Igual Santi Seguí •
Introduction to Data Science A Python Approach to Concepts, Techniques and Applications With contributions from Jordi Vitrià, Eloi Puertas Petia Radeva, Oriol Pujol, Sergio Escalera, Francesc Dantí and Lluís Garrido
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Laura Igual Departament de Matemàtiques i Informàtica Universitat de Barcelona Barcelona Spain
Santi Seguí Departament de Matemàtiques i Informàtica Universitat de Barcelona Barcelona Spain
With contributions from Jordi Vitrià, Eloi Puertas, Petia Radeva, Oriol Pujol, Sergio Escalera, Francesc Dantí and Lluís Garrido ISSN 1863-7310 ISSN 2197-1781 (electronic) Undergraduate Topics in Computer Science ISBN 978-3-319-50016-4 ISBN 978-3-319-50017-1 (eBook) DOI 10.1007/978-3-319-50017-1 Library of Congress Control Number: 2016962046 © Springer International Publishing Switzerland 2017 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication.
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