Python notebooks for my graduate class on Detection, Estimation, and Learning. Intended for in-class demonstration. Notebooks illustrate a variety of concepts, from hypothesis testing to estimation to image denoising to Kalman filtering. Feel free to use or modify for your instruction or self-study.
python
machine-learning
signal-processing
detection
jupyter-notebook
regression
estimation
lasso
ridge-regression
hypothesis-testing
maximum-likelihood
teaching-materials
kalman-filter
python-notebook
lasso-regression
estimation-theory
tikhonov-regularization
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Updated
Apr 23, 2018 - Jupyter Notebook