Introduction to Pattern Recognition and Machine Learning by M Narasimha Murty

Introduction to Pattern Recognition and Machine Learning

byM Narasimha Murty, V Susheela Devi

Kobo ebook | April 22, 2015

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This book adopts a detailed and methodological algorithmic approach to explain the concepts of pattern recognition. While the text provides a systematic account of its major topics such as pattern representation and nearest neighbour based classifiers, current topics — neural networks, support vector machines and decision trees — attributed to the recent vast progress in this field are also dealt with. Introduction to Pattern Recognition and Machine Learning will equip readers, especially senior computer science undergraduates, with a deeper understanding of the subject matter.

Contents:

  • Introduction
  • Types of Data
  • Feature Extraction and Feature Selection
  • Bayesian Learning
  • Classification
  • Classification Using Soft Computing Techniques
  • Data Clustering
  • Soft Clustering
  • Application — Social and Information Networks

Readership: Academics and working professionals in computer science.
Key Features:

  • The algorithmic approach taken and the practical issues dealt with will aid the reader in writing programs and implementing methods
  • Covers recent and advanced topics by providing working exercises, examples and illustrations in each chapter
  • Provides the reader with a deeper understanding of the subject matter
Title:Introduction to Pattern Recognition and Machine LearningFormat:Kobo ebookPublished:April 22, 2015Publisher:World Scientific Publishing CompanyLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:9814656275

ISBN - 13:9789814656276

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