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Elements of Data Science, Machine Learning, and Artificial Intelligence Using R

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Cover of 'Elements of Data Science, Machine Learning, and Artificial Intelligence Using R'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to Learning from Data
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    Chapter 2 General Prediction Models
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    Chapter 3 General Error Measures
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    Chapter 4 Resampling Methods
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    Chapter 5 Data
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    Chapter 6 Statistical Inference
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    Chapter 7 Clustering
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    Chapter 8 Dimension Reduction
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    Chapter 9 Classification
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    Chapter 10 Hypothesis Testing
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    Chapter 11 Linear Regression Models
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    Chapter 12 Model Selection
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    Chapter 13 Regularization
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    Chapter 14 Deep Learning
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    Chapter 15 Multiple Testing Corrections
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    Chapter 16 Survival Analysis
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    Chapter 17 Foundations of Learning from Data
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    Chapter 18 Generalization Error and Model Assessment
Attention for Chapter 8: Dimension Reduction
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