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Introduces principles, algorithms, and applications of machine learning from the point of view of modeling and prediction. It includes formulation of learning problems and concepts of representation, over-fitting, and generalization. The objective of the machine learning training is to provide participants with a comprehensive understanding of machine learning principles and techniques. The training aims to impart practical skills in data preprocessing, model development, and evaluation. Participants will gain proficiency in popular machine learning libraries and frameworks, enabling them to apply algorithms to real-world problems. The training also emphasizes a conceptual understanding of machine learning concepts, fostering the ability to choose appropriate models and interpret results. Ultimately, the goal is to empower participants to leverage machine learning effectively, whether in research, business applications, or further academic pursuits.
Co-ordinator: Prof. Rishi Acharya
