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The document outlines the COMP9417 course on Nonparametric Modelling in Machine Learning for Term 2, 2024, focusing on two main approaches: nearest neighbour methods and tree learning. It covers the k-nearest neighbour algorithm for classification and regression, discussing its advantages, disadvantages, and the implications of dimensionality. Additionally, it introduces concepts such as distance measures, local regression, and the importance of data normalization.

Author

564898153

Language

EN