The objective of organizing the Faculty Development Program (FDP) on “Machine Learning: From Theory to Practice” was to strengthen both the theoretical understanding and practical skills of our faculty members in the field of Machine Learning.
Dr. Shaila Ghanti, Head of the Computer Science Department, welcomed the faculty and the resource persons. Ms. Sanas Shaikh introduced the resource persons to the participants. Dr. Harikrishnan emphasized the growing importance of Machine Learning, explaining its evolution and laying the groundwork with an overview of linear algebra concepts crucial for Machine Learning. Hands-on sessions were conducted on algorithms such as Linear Regression, K-Nearest Neighbors (KNN), and Decision Trees, allowing participants to apply these techniques.
Dr. Gargi led a session focused on the use of Machine Learning algorithms in research, highlighting their application in energy conservation. She demonstrated how Machine Learning techniques can be used to predict power consumption of CUDA kernels.