Principles of Machine Learning



Explore core ML concepts and algorithms like supervised learning, concept learning, Find-S, and Candidate Elimination.


What you will learn

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Understand well-posed learning problems and key components of a machine learning system.

Analyze concept learning as a search problem and apply it to hypothesis spaces.

Implement and evaluate the Find-S algorithm for concept learning tasks.

Apply the Candidate Elimination algorithm to refine hypothesis spaces based on training data.

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