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What is Instance Based Learning - Module4 about?

Instance-based learning methods, such as K-Nearest Neighbour (KNN) and Locally Weighted Regression (LWR), store training examples and classify new instances based on their proximity to these examples. KNN uses Euclidean distance to classify instances, while LWR approximates real-valued target functions by weighting contributions from nearby points. Both methods are advantageous for learning complex functions but can be slow at query time and sensitive to irrelevant attributes.

Author

Sushant Khatri

Language

EN