Program

This workshop presents the basics and overview of various learning methods, particularly, (i) supervised Machine Learning (ML), (ii) Deep Learning (DL), (iii) Reinforcement Learning (RL), and (iv) Social and Distributed Learning (SDL). It also presents an overview of the emerging applications of these methods in solving various system-level problems in computer vision, edge computing, control, communications and other industrial automations.

• Understanding of the basics learning methods (like ML, DL and RL)

• Overview of learning systems

• Motivation and impetus to learn more about ELMS!