https://github.com/linesd/machine-learning-notebooks
Jupyter notebooks implementing papers and general machine learning concepts
https://github.com/linesd/machine-learning-notebooks
Last synced: 8 months ago
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Jupyter notebooks implementing papers and general machine learning concepts
- Host: GitHub
- URL: https://github.com/linesd/machine-learning-notebooks
- Owner: linesd
- Created: 2019-05-20T17:01:15.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2019-07-01T13:28:18.000Z (almost 7 years ago)
- Last Synced: 2025-05-22T20:11:21.606Z (about 1 year ago)
- Language: Jupyter Notebook
- Size: 1.26 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# machine-learning-notebooks
Jupyter notebooks implementing papers and general machine learning concepts
Notes:
- Tested for python >= 3.6
- Jupyter notebook
Table of Contents:
1. **Gaussian Process Regression** from [Gaussian Processes for Machine Learning](http://www.gaussianprocess.org/gpml/)
2. **Random Fourier Features** from [Random Features for Large-Scale Kernel Machines](http://papers.nips.cc/paper/3182-random-features-for-large-scale-kernel-machines.pdf)
2. **Bayesian Regression with Random Features** using [Random Features for Large-Scale Kernel Machines](http://papers.nips.cc/paper/3182-random-features-for-large-scale-kernel-machines.pdf)