Unit 4: Computational Learning Theory & Instance-Based Learning
Title: Unit 4 Machine Learning Notes – k-NN & Computational Learning Theory
Description: Download comprehensive notes for Unit 4, covering the theoretical limits of learning and "Lazy" learning algorithms. These hand written materials are tailored for B.Tech students in C.S and I.T, focusing on the specific definitions and derivations asked in AKTU and CCSU examinations.
Topics Covered:
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Computational Learning Theory: Sample complexity for Finite vs. Infinite Hypothesis spaces.
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Mistake Bound Model: Understanding learning limits.
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Instance-Based Learning: k-Nearest Neighbour (k-NN), Locally Weighted Regression, and Case-based learning.