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Introduction to Data Science
A Python Approach to Concepts, Techniques and Applications
Taschenbuch von Laura Igual (u. a.)
Sprache: Englisch

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Beschreibung
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.
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.
Inhaltsverzeichnis
Introduction to Data Science.- Toolboxes for Data Scientists.- Descriptive statistics.- Statistical Inference.- Supervised Learning.- Regression Analysis.- Unsupervised Learning.- Network Analysis.- Recommender Systems.- Statistical Natural Language Processing for Sentiment Analysis.- Parallel Computing.
Details
Erscheinungsjahr: 2017
Fachbereich: EDV
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 218
Inhalt: Einband - flex.(Paperback)
ISBN-13: 9783319500164
ISBN-10: 3319500163
Sprache: Englisch
Herstellernummer: 978-3-319-50016-4
Autor: Igual, Laura
Seguí, Santi
Auflage: 1st ed. 2017
Hersteller: Springer
Springer, Berlin
Springer International Publishing
Abbildungen: XIV, 218 p. 73 illus., 67 illus. in color.
Maße: 234 x 157 x 236 mm
Von/Mit: Laura Igual (u. a.)
Erscheinungsdatum: 02.03.2017
Gewicht: 0,402 kg
preigu-id: 108543961
Inhaltsverzeichnis
Introduction to Data Science.- Toolboxes for Data Scientists.- Descriptive statistics.- Statistical Inference.- Supervised Learning.- Regression Analysis.- Unsupervised Learning.- Network Analysis.- Recommender Systems.- Statistical Natural Language Processing for Sentiment Analysis.- Parallel Computing.
Details
Erscheinungsjahr: 2017
Fachbereich: EDV
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 218
Inhalt: Einband - flex.(Paperback)
ISBN-13: 9783319500164
ISBN-10: 3319500163
Sprache: Englisch
Herstellernummer: 978-3-319-50016-4
Autor: Igual, Laura
Seguí, Santi
Auflage: 1st ed. 2017
Hersteller: Springer
Springer, Berlin
Springer International Publishing
Abbildungen: XIV, 218 p. 73 illus., 67 illus. in color.
Maße: 234 x 157 x 236 mm
Von/Mit: Laura Igual (u. a.)
Erscheinungsdatum: 02.03.2017
Gewicht: 0,402 kg
preigu-id: 108543961
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