PDF Ebook Probability and Statistics for Data Science (Chapman & Hall/Crc Data Science)
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Probability and Statistics for Data Science (Chapman & Hall/Crc Data Science)
PDF Ebook Probability and Statistics for Data Science (Chapman & Hall/Crc Data Science)
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Pressestimmen
"I quite like this book. I believe that the book describes itself quite well when it says: Mathematically correct yet highly intuitive...This book would be great for a class that one takes before one takes my statistical learning class. I often run into beginning graduate Data Science students whose background is not math (e.g., CS or Business) and they are not ready...The book fills an important niche, in that it provides a self-contained introduction to material that is useful for a higher-level statistical learning course. I think that it compares well with competing books, particularly in that it takes a more "Data Science" and "example driven" approach than more classical books." Randy Paffenroth, Worchester Polytechnic Institute
Über den Autor und weitere Mitwirkende
Norman Matloff is a professor of computer science at the University of California, Davis, and was formerly a statistics professor there. He is on the editorial boards of the Journal of Statistical Software and The R Journal. His book Statistical Regression and Classification: From Linear Models to Machine Learning was the recipient of the Ziegel Award for the best book reviewed in Technometrics in 2017. He is a recipient of his university's Distinguished Teaching Award.
Produktinformation
Taschenbuch: 444 Seiten
Verlag: Routledge (1. Juli 2019)
Sprache: Englisch
ISBN-10: 1138393290
ISBN-13: 978-1138393295
Größe und/oder Gewicht:
15,6 x 2,5 x 23,5 cm
Durchschnittliche Kundenbewertung:
Schreiben Sie die erste Bewertung
Amazon Bestseller-Rang:
Nr. 121.211 in Fremdsprachige Bücher (Siehe Top 100 in Fremdsprachige Bücher)
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