Mathematical Models for Machine Learning and It’s Applications - Online Mode

Who should attend

The programme is open to the faculty of engineering colleges, degree colleges, MCA colleges and other allied disciplines in India.

Course Content

• Introduction to Machine Learning and Image Processing
• Phases of Image Processing
• Research in Machine Learning and Applications
• Machine Learning with Feature Representation
• Feature Selection and Sparse Representation
• Machine Learning Basics – Linear Regression,
Perceptron’s, Multilayer Perceptron’s,
Stochastic Gradient Descent, Backpropagation
• Basics of Python
• Decision tress, Naive Bayesian Classification
• KNN, Unsupervised Learning Methods, K-Means
• Dimensionality Reduction Methods, PCA
• Computer Vision Applications:
Image Classification, Object Recognition
and detection
• Recommendation systems applications
• Natural Language Processing (NLP) Applications
• Current Research – Latest Architectures,
Applications and Hands on Sessions and
supervised and unsupervised Learning Methods

Registration Fee

Faculty and Research Scholars	Rs. 750/-
Industry Participants	Rs. 2250/-

The Participants need to pay the Registration Fee Online using the following details:
On-line Mode:
Account Name: Electronics & ICT Academy NITW
Account No: 62423775910
IFSC Code: SBIN0020149

How to Apply

Participants are required to fill the online registration form by clicking on the following link:

Registration Link:
https://forms.gle/y9hbeycmBKcHcaEz6