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TABLE OF CONTENTS16 sections

Machine Learning

01Machine Learning 02Machine Learning Foundations And Problem Formulation 03Mathematical Statistical And Optimization Foundations 04Data Understanding Preparation And Feature Engineering 05Regression And Predictive Estimation 06Classification And Kernel Methods 07Decision Trees And Ensemble Learning 08Model Evaluation Selection And Experimentation 09Unsupervised Learning And Representation 10Neural Networks And Deep Learning 11Time Series And Sequential Machine Learning 12Reinforcement Learning And Sequential Decision Making 13Explainability Causal Analysis And Decision Analytics 14Scalable Ml Systems And Mlops 15Responsible Ai Security And Ml Governance 16Enterprise Applications Strategy And Emerging Directions

Chapter 5

Classification And Kernel Methods

PREVIOUS SECTIONRegression And Predictive Estimation UP NEXTDecision Trees And Ensemble Learning

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