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Module 5 discusses instance-based learning methods, including k-nearest neighbor and locally weighted regression, which classify new instances based on stored training data. It outlines the advantages and disadvantages of these methods, such as fast training and high classification costs, and introduces concepts like distance-weighted algorithms and radial basis functions. Additionally, it covers case-based reasoning and reinforcement learning, emphasizing their applications and the challenges faced in lear

Author

sagarsagarhr868

Language

EN