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Statistical

I 10 migliori prodotti di giugno 2025
Ultimo aggiornamento: 18 giugno 2025
Springer
Springer
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition
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  • Language Published: English
  • Binding: Hardcover
  • Comes in Good condition
  • 70,00 € SU AMAZON
Springer Nature
Springer Nature
An Introduction to Statistical Learning: With Applications in Python
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Springer
Springer
An Introduction to Statistical Learning: With Applications in R
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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
  • 62,00 € SU AMAZON
Cengage Learning
Cengage Learning
Statistical Inference                            
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#4
Springer
Springer
All of Statistics: A Concise Course in Statistical Inference
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#5

  • Tutto sulla statistica: un corso conciso sull'inferenza statistica
  • Tipo di prodotto: ABIS_BOOK
  • Marca: Springer
  • 60,98 € SU AMAZON
Springer
Springer
A First Course in Bayesian Statistical Methods  
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Chapman and Hall/CRC
Chapman and Hall/CRC
Exercises in Statistical Reasoning              
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OXFORD UNIVERSITY PRESS
OXFORD UNIVERSITY PRESS
Statistical Mechanics: Entropy, Order Parameters, and Complexity: Second Edition: 14
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#8

  • Meccanica statistica: entropia, parametri d'ordine e complessità: seconda edizione: 14 Oxford Master Series in fisica
  • Tipo di prodotto: Abis Book
  • Marchio: Oxford University Press
  • 41,95 € SU AMAZON
Springer
Springer
Statistical Analysis of Network Data with R      
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#9
Springer
Springer
An Introduction to Statistical Learning: with Applications in R
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#10

  • This book presents some of the most important modeling and prediction techniques, along with relevant applications
  • Topics include linear regression, classification, re-sampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented.
  • Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform
  • 70,46 € SU AMAZON
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