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Grus, J: Einführung in Data Science Hardcover – 1 January 2016
Joel Grus (Author) Find all the books, read about the author, and more. See search results for this author |
There is a newer edition of this item:
- Print length332 pages
- LanguageGerman
- PublisherDpunkt.Verlag GmbH
- Publication date1 January 2016
- Dimensions16.4 x 2.2 x 23.8 cm
- ISBN-103960090218
- ISBN-13978-3960090212
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Product details
- Publisher : Dpunkt.Verlag GmbH (1 January 2016)
- Language : German
- Hardcover : 332 pages
- ISBN-10 : 3960090218
- ISBN-13 : 978-3960090212
- Dimensions : 16.4 x 2.2 x 23.8 cm
- Customer Reviews:
About the author

Joel Grus is Principal Engineer at Capital Group, where he leads a small team that designs and implements machine learning and data products. Before that he was a software engineer at the Allen Institute for AI and Google, and a data scientist at a variety of startups.
He's the author of the the beloved "Data Science from Scratch", the quirky "Ten Essays on Fizz Buzz", and the polarizing JupyterCon talk "I Don't Like Notebooks".
He lives in Seattle, where he regularly attends data science happy hours. He blogs infrequently at joelgrus.com.
Customer reviews
Top reviews from other countries

Wer also wissen will, wie die Algorithmen funktionieren, der ist mit diesem Buch gut bedient. Da ich für meine Masterarbeit aber auch scikit-learn verwende, werde ich mir auch das Buch: Einführung in Machine Learning mit Python: Praxiswissen Data Science von Andreas C. Müller und Sarah Guido besorgen.



Für Leute die sich intensiv mit dem Thema beschäftigen wollen, ist das Buch nicht zu empfehlen.

Zu Kontext ich habe bisher kaum Berührungspunkte mit Python und arbeite hauptsächlich mit VBA in Office.