• PHI Learning Introduction to Machine Learning PHI Learning Introduction to Machine Learning

PHI Learning Introduction to Machine Learning

Product Code : 9788120350786

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PHI Learning Introduction to Machine Learning

Introduction to Machine Learning is a comprehensive textbook on the subject, covering a broad array of topics not usually included in introductory machine learning texts. Subjects include supervised learning; Bayesian decision theory; parametric, semiparametric, and nonparametric methods; multivariate analysis; hidden Markov models; reinforcement learning; kernel machines; graphical models; Bayesian estimation; and statistical testing.

Machine learning is rapidly becoming a skill that computer science students must master before graduation. This new edition of the book reflects this shift, with added support for beginners, including selected solutions for exercises and additional example data sets (with code available online). Other substantial changes include discussions of outlier detection; ranking algorithms for perceptors and support vector machines; matrix decomposition and spectral methods; distance estimation; new kernel algorithms; deep learning in multilayered perceptrons; and the nonparametric approach to Bayesian methods. All learning algorithms are explained so that students can easily move from the equations in the book to a computer program.



1. Introduction

2 Supervised Learning

3. Bayesian Decision Theory

4. Parametric Methods

5. Multivariate Methods

6. Dimensionality Reduction

7. Clustering

8. Nonparametric Methods

9. Decision Trees

10. Linear Discrimination

11. Multilayer Perceptrons

12. Local Models

13. Kernel Machines

14. Graphical Models

15. Hidden Markov Models

16. Bayesian Estimation

17. Combining Multiple Learners

18. Reinforcement Learning

19. Design and Analysis of Machine Learning Experiments

A. Probability


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Brand / Publisher PHI Learning
Return Policy 30 Days
Book Type Reference Books
Edition 3rd
ISBN 9788120350786
Author Prof : Alpaydin
Language English
Study Stream Engineering
Specialization Computer Science
Subject Computer Science
Pages 640
Binding Paperback


Brand Description

Established in 1963, PHI Learning is a leading academic publisher of the country. Under the imprint of Eastern Economy Editions, PHI Learning has been the pioneer of low-cost high quality affordable texts. PHI titles encompass a wide range of subjects including engineering, sciences, humanities, management, computer science & information technology, social sciences and books for working professionals. With more than 3000 titles on its list today, PHI has often played a pivotal role in redesigning and reorienting university syllabi based on its valuable books.
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