AI class homework 3

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Revision as of 04:16, 4 November 2011 by Sixsigma (talk | contribs) (→‎Homework)
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These are my notes for homework 3 of the AI class.

Homework

Naive Bayes Laplacian Smoothing

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Note: HINT: The size of the vocabulary is 11.

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Naive Bayes 2

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Note: Use the probabilities from the previous part (so Laplace smoothing still applies).

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Maximum Likelihood

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Linear Regression

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Note: The question is whether the line can be fit EXACTLY.

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Linear Regression 2

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K Nearest Neighbours

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K Nearest Neighbours 2

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Perceptron

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