GitHub / docnok / detection-estimation-learning
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.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/docnok%2Fdetection-estimation-learning
Stars: 15
Forks: 8
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 3.29 MB
Dependencies parsed at: Pending
Created at: about 7 years ago
Updated at: about 2 years ago
Pushed at: about 7 years ago
Last synced at: about 2 years ago
Topics: detection, estimation, estimation-theory, hypothesis-testing, jupyter-notebook, kalman-filter, lasso, lasso-regression, machine-learning, maximum-likelihood, python, python-notebook, regression, ridge-regression, signal-processing, teaching-materials, tikhonov-regularization