Homework
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Homework 1 Solutions
Solutions to CS 446/ECE 449 Homework 1 covering K-NN, Perceptron Algorithm, and MLE/MAP estimation
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Homework 2 Solutions
Solutions to ML Homework 2 covering Naive Bayes classification, Gaussian Naive Bayes, Logistic Regression theory, and optimization techniques including gradient descent variants
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Homework 3 Solutions
Solutions to ML Homework 3 covering Support Vector Machines (SVM), dual optimization, kernel methods, and linear regression techniques including Ridge and Lasso with ISTA
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Homework 4 Solutions
Solutions to ML Homework 4 covering bias-variance decomposition in Ridge Regression, optimal classifier under squared loss, and model selection using k-fold cross-validation
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Lab: Color Swapping
- Substituting a specific color in an image with some targeted color for the purpose of exploration, design, image, and creation.
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Lab: Contrast Enhancement
- a photometric measure of the [phtometric](<https://en.wikipedia.org/wiki/Photometry_(optics)>) measure of the **luminous intensity** per unit area o...
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Lab: Error Path Quilting
```python
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Lab: Hybrid Images
- Two different interpretations of a picture can be perceived by