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Introduction To Statistical Learning

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Letzte Aktualisierung: 10. Dezember 2025
Springer
Springer
An Introduction to Statistical Learning: with Applications in Python (Springer Texts in Statistics)
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Springer
Springer
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
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  • An Introduction to Statistical Learning: with Applications in R Springer Texts in Statistics
  • Books Subjects Computing Internet Computer Science AI Machine Learning Books Subjects Computing Internet Software Graphics Business Home Office Books Subjects Science Nature Maths Mathematics Education Higher Education Books Subjects Science Nature Maths Mathematics Probability Statistics Books Subjects Scientific Technical Medical Mathematics Applied Mathematics Statistics Probability
  • Product Type: ABIS BOOK
  • Brand: Springer
  • 60,00 € AUF AMAZON
Springer
Springer
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
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#3

  • Language Published: English
  • Binding: Hardcover
  • Comes in Good condition
  • 71,09 € AUF AMAZON
Penguin
Penguin
The Art of Statistics: Learning from Data (Pelican Books)
29% Rabatt
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Amazon.de
#4

  • A good option for a Book Lover
  • Condition : Good
  • Easy to read text
  • 9,99 € AUF AMAZON
Springer
Springer
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics Book 103) (English Edition)
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#5
Independently published
Independently published
Introduction to Statistical Learning: A Comprehensive Guide to R Programming, Data Visualization, Linear Regression, Decision Tree, Clustering, Dimensionality Reduction and Many More
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SAS Institute
SAS Institute
Introduction to Statistical and Machine Learning Methods for Data Science
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MIT Press
MIT Press
Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning series)
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#8
Morgan Kaufmann
Morgan Kaufmann
Introduction to Statistical Machine Learning    
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#9
Introduction to Statistical Machine Learning by Masashi Sugiyama (2015-09-25)
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#10
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