UNIT I
INTRODUCTION TO MACHINE LEARNING
UNIT II
DECISION THEORY
UNIT III
CLUSTERING & REGRESSION
UNIT IV
MULTILAYER PERCEPTRONS
UNIT V
LOCAL MODELS
This book has been written for the BE/B.Tech students of All University with latest syllabus for ECE, EEE, CSE, IT, Mechanical, Bio Medical, Bio Tech, BCA, MCA and All B.Sc Department Students.
The basic aim of this book is to provide a basic knowledge in Machine Learning.
Machine Learning for engineering students of degree, diploma & AMIE courses and a useful reference for these preparing for competitive examinations.
All the concepts are explained in a simple, clear and complete manner to achieve progressive learning.
This book is divided into five chapters. Each chapter is well supported with the necessary illustration practical examples and solved problems.
