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Einführung in Data Science: Grundprinzipien der Datenanalyse mit Python - Hardcover

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9783960090212: Einführung in Data Science: Grundprinzipien der Datenanalyse mit Python

Synopsis

Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they're also a good way to dive into the discipline without actually understanding data science. In this book, you'll learn how many of the most fundamental data science tools and algorithms work by implementing them "from scratch."

If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today's messy glut of data holds answers to questions no one's even thought to ask. This book provides you with the know-how to dig those answers out.Get a crash course in PythonLearn the basics of linear algebra, statistics, and probability--and understand how and when they're used in data scienceCollect, explore, clean, munge, and manipulate dataDive into the fundamentals of machine learningImplement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clusteringExplore recommender systems, natural language processing, network analysis, MapReduce, and databases

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Joel Grus
Published by Dpunkt.Verlag GmbH, 2016
ISBN 10: 3960090218 ISBN 13: 9783960090212
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Joel Grus
Published by Dpunkt.Verlag GmbH, 2016
ISBN 10: 3960090218 ISBN 13: 9783960090212
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Grus, Joel und Kristian Rother:
Published by O'Reilly, 2016
ISBN 10: 3960090218 ISBN 13: 9783960090212
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Softcover. Condition: Gut. 1. 348 S. Gutes Exemplar, geringe Gebrauchsspuren, Cover/SU berieben/bestoßen, innen alles in Ordnung. C250911ah09 ISBN: 9783960090212 Sprache: Deutsch Gewicht in Gramm: 580. Seller Inventory # 738145

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