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Daqian World Commodity Store An Introduction To Statistical Learning of 2026
By Daqian World Commodity Store Editor • 2026-09-21
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Daqian World Commodity Store An 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)
An Introduction to Statistical Learning: with Applications in Python (Springer Texts in Statistics)
Basic Math for AI: A Beginners Quickstart Guide to the Mathematical Foundations of Artificial Intelligence (AI Fundamentals)
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
Cengage Learning.
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
Introduction to Statistical Machine Learning
Introduction to Statistics: An Intuitive Guide for Analyzing Data and Unlocking Discoveries
Learning R: A Step-by-Step Function Guide to Data Analysis
Used Book in Good Condition.
Machine Learning and Data Science: An Introduction to Statistical Learning Methods with R
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
