Top 10 Best Elements Of Statistical Learning

of November 2024
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction,
Springer
Springer
10
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Elements of Statistical Learning Data Mining, Inference, and Prediction, Second
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3
The Elements of Statistical Learning: Data Mining, Inference, and Prediction,
Springer
Springer
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An Introduction to Statistical Learning: with Applications in R (Springer Texts
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An Introduction to Statistical Learning: with Applications in R (Springer Texts
Springer
Springer
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Ace the Data Science Interview: 201 Real Interview Questions Asked By FAANG,
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Deep Learning (Adaptive Computation and Machine Learning series)
The MIT Press
The MIT Press
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Machine Learning For Absolute Beginners: A Plain English Introduction (Machine
Independently Published
Independently Published
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Elements of Causal Inference: Foundations and Learning Algorithms (Adaptive
The MIT Press
The MIT Press
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Pattern Recognition and Machine Learning (Information Science and Statistics)
Springer
Springer
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About Elements Of Statistical Learning

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The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)

Language Published English. Binding Hardcover. Comes in Good condition.

Elements of Statistical Learning Data Mining, Inference, and Prediction, Second Edition

The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition

An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)

An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)

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.

Ace the Data Science Interview: 201 Real Interview Questions Asked By FAANG, Tech Startups, & Wall Street

Deep Learning (Adaptive Computation and Machine Learning series)

Language Published English. Binding hardcover. It ensures you get the best usage for a longer period.

Machine Learning For Absolute Beginners: A Plain English Introduction (Machine Learning From Scratch)

Elements of Causal Inference: Foundations and Learning Algorithms (Adaptive Computation and Machine Learning series)

Pattern Recognition and Machine Learning (Information Science and Statistics)

Springer.
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