Lecture Notes || SNS Courseware

Subject Details

Dept : ECE

Sem : 5

Regul : 2019

Faculty : Arun Kumar.N

phone : 9688070556

E-mail : arunkumar.n.ece@snsct.org

520

Page views

Files

Videos

R.Links

Lecture Notes

UNIT 1:

Definition of learning systems

Goals and applications of machine learning

Types of Machine Learning

Machine Learning Process

Terminology

Weight Space

The Curse of Dimensionality

Testing Machine Learning Algorithms

UNIT 2:

Regression: Linear Regression,Parametric Models

Multivariate Regression

Classification: Bayesian Decision Theory parametric and non-parametric methods

Multivariate Classification- Logistic Regression

K-Nearest Neighbor classifier

Decision Tree based methods for classification & Regression

Ensemble methods

UNIT 3:

Introduction & Clustering

K-means clustering

EM algorithm

Hierarchical Clustering

Principal Component Analysis

Probabilistic PCA

UNIT 4:

The Brain and The Neuron

Neural Networks

Perceptron-Training the perceptron

Perceptron Learning Algorithm

Multilayer Perceptron

Back Propagation -Dimensionality Reduction.

UNIT 5:

Convolutional Networks

Recurrent Neural Networks

Bidirectional RNNs

Deep Recurrent Networks

Recursive Neural Networks

Applications – Speech Recognition

Lecture Notes

Announcements

Recent Files

Copyright © SNS College Of Engineering 2014 Developed bySNSCE