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Homework 01
Here’s the first homework. The first problem is an implementation of k-nearest neighbors, applied to digit and spam classification. The second explores the curse of dimensionality via two simple...
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The second homework is posted. The first problem is an exercise in using cross-validation to select the best-fit polynomial for some synthetic data where both the degree and coefficients are unknown....
View ArticleFinal Project
Here are details for the final project. The main objective is to apply techniques we’ve discussed in class to real-world data. You may either use a pre-compiled data set or build your own data set...
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