Lecture Notes || SNS Courseware

Subject Details

Dept : AIML

Sem : 4

Regul : 2023-2024

Faculty : Ms S Rajarajeswari

phone : 9488704705

E-mail : rajarajeswari.s.aiml@snsct.org

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Lecture Notes

UNIT 1:

Machine Learning algorithms

Machine Learning,Types of Machine Learning –Machine Learning process

UNIT 2:

Discriminant Functions, Probabilistic Generative Models, Probabilistic Discriminative Models

Ensemble Methods, Bagging, Boosting.

Bayesian Learning, Naïve Bayes

Linear Models for Regression

Decision Tree Learning

Discriminant Functions, Probabilistic Generative Models, Probabilistic Discriminative Models

UNIT 3:

Neural Network Representation

Perceptron – Multilayer Networks

UNIT 4:

Clustering- K-means

EM Algorithm

Linear Discriminant Analysis, Factor Analysis

Principal Components Analysis

Mixtures of Gaussians

UNIT 5:

Q Learning Algorithm

Elements of Reinforcement Learning

Lecture Notes