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Daqian World Commodity Store Introduction To Statistical Learning of 2026
By Daqian World Commodity Store Editor • 2026-09-21
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Daqian World Commodity Store Introduction To Statistical Learning
of September 2026
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Click here to learn more about these products.
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
Basic Math for AI: A Beginners Quickstart Guide to the Mathematical Foundations of Artificial Intelligence (AI Fundamentals)
Introduction to Statistics: An Intuitive Guide for Analyzing Data and Unlocking Discoveries
An Elementary Introduction to Statistical Learning Theory
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.
An Introduction to Statistical Methods and Data Analysis
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
How to Lie with Statistics
Learning R: A Step-by-Step Function Guide to Data Analysis
Used Book in Good Condition.
The Art of Statistics: How to Learn from Data
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.
