Lecture Notes || SNS Courseware

Subject Details

Dept : AIDS

Sem : 5

Regul : 2020

Faculty : PADMASHRI N

phone : 9167022231

E-mail : padmashri.n.ad@snsce.ac.in

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Lecture Notes

UNIT 1:

Introduction

Types of Machine Learning – Supervised Learning – Unsupervised Learning

Basic Concepts in Machine Learning – Machine Learning Process

Testing Machine Learning Algorithm

A Brief Review of Probability Theory

UNIT 2:

Linear Models for Regression – Linear Basis Function Models

The Bias-Variance Decomposition

Bayesian Linear Regression – Common Regression Algorithms

Simple Linear Regression – Multiple Linear Regression

– Linear Models for Classification – Discriminate Functions

Probabilistic Generative Models – Probabilistic Discriminative Models

Decision Trees – Random Forest model

Support Vector Machines – Case Studies.

Decision Trees – Random Forest model

Lecture Notes