Session 6|Learning Model|Dr.N.Nandhini|AP|MCA|SNSCT

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Welcome to our deep dive into the fascinating world of machine learning! In this video, we explore three major paradigms in machine learning: Logical, Probabilistic, and Geometric models.
🌟 Logical Models: Discover how machine learning algorithms like decision trees and rule-based systems use logic to make predictions. These models are intuitive and can be easily understood, making them powerful tools for both beginners and experts.
🎲 Probabilistic Models: Dive into the world of uncertainty with probabilistic models such as Bayesian networks and Hidden Markov Models. Learn how these models handle data with inherent randomness and make predictions based on probabilities.
📐 Geometric Models: Finally, explore the geometric perspective in machine learning. Understand how algorithms like Support Vector Machines and Principal Component Analysis represent data in high-dimensional spaces, making decisions based on geometry.