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Machine Learning: a Concise Introduction - Research Book

Machine Learning: a Concise Introduction - Research Book

Essential Research Book in Machine Learning: a Concise Introduction

Author(s) Name:  Steven W. Knox

About the Book:

    Machine Learning: a Concise Introduction offers a comprehensive introduction to the core concepts, approaches, and applications of machine learning. The author—an expert in the field—presents fundamental ideas, terminology, and techniques for solving applied problems in classification, regression, clustering, density estimation, and dimension reduction.
   The design principles behind the techniques are emphasized, including the bias-variance trade-off and its influence on the design of ensemble methods. Understanding these principles leads to more flexible and successful applications. Machine Learning: a Concise Introduction also includes methods for optimization, risk estimation, and model selection— essential elements of most applied projects.

Table of Contents

  • Introduction—Examples from Real Life
  • The Problem of Learning
  • Regression
  • Survey of Classification Techniques
  • Bias–Variance Trade-off
  • Combining Classifiers
  • Risk Estimation and Model Selection
  • Consistency
  • Clustering
  • Optimization
  • ISBN:  978-1-119-43919-6

    Publisher:  Wiley

    Year of Publication:  2018

    Book Link:  Home Page Url