Machine Learning and Deep Learning @ Aditya Engineering College (A), Surampalem

Participants Information

Participants:	44
Speakers:	04
Female participants:	20
Male participants:	24
Participants from SC/ST category:	03

Topics Covered

• Foundations on Machine Learning
• Support Vector Machines & PCA
• Baysian networks
• Gradient Computing method
• Clustering
• Linear Regression
• Multiple linear Regression
• Re-sampling Methods
• Linear Model Selection and Regularization
• Implementation of Machine Learning Algorithms Using TensorFlow
• Introduction to Deep learning
• Feed Forward network and Back Propagation
• Demos/Case Studies on Deep learning

List of Speakers

Prof. R. B. V. Subramanyam, Professor, NIT Warangal

Prof. V. Ravindranath, Professor, JNTUK Kakinada

Dr. Nagesh Bhattu. S, Assistant Professor, NIT AP

Mr. Ashvini Jindal, Applied Research Engineer, LinkedIn, Bangalore

Feedback Summary

Sessions were interesting and participants gained practical knowledge.

FDP was helpful for the participants to progress in their acedemic and research development.

Expertise of the resource persons was the major highlight of the programme.

Suggestions from Participants

More practical sessions required.