Bihar Engineering University, Bihar, Information Technology Semester 4, Machine Learning Syllabus

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Unit - 1 Introduction

1.1 INTRODUCTION – Basic definitions Linear Algebra Statistical learning theory

1.2 Types of learning

Unit - 2 Statistical Decision Theory

2.1 Statistical Decision Theory

2.2 Linear regression

Unit - 3 Classification and Regression

3.1 Linear Classification Logistic Regression Linear Discriminant Analysis Quadratic Discriminant Analysis

3.2 Perceptron Support Vector Machines

Unit - 4 Hypothesis testing

4.1 Hypothesis testing

4.2 Clustering Kmeans Kmedoids.

4.3 Densitybased Hierarchical Spectral

Unit - 5 Expectation Maximization

5.1 Expectation Maximization

5.2 GMMs Learning theory Intro to Reinforcement Learning

5.3 Bayesian Networks.

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Other Subjects of Semester-2
Database management system
Formal language & automata theory
Computer organization & architecture
Management i (organizational behaviour)
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