https://github.com/yanndubs/machinelearningcode
Some of the machine learning functions I've implemented: for learning purpose
https://github.com/yanndubs/machinelearningcode
learning-by-doing machine-learning
Last synced: 4 months ago
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Some of the machine learning functions I've implemented: for learning purpose
- Host: GitHub
- URL: https://github.com/yanndubs/machinelearningcode
- Owner: YannDubs
- Created: 2016-12-24T07:37:22.000Z (almost 9 years ago)
- Default Branch: master
- Last Pushed: 2017-04-06T02:03:51.000Z (over 8 years ago)
- Last Synced: 2025-03-18T00:52:13.857Z (7 months ago)
- Topics: learning-by-doing, machine-learning
- Language: Matlab
- Homepage: https://yanndubs.github.io/machineLearningCode/
- Size: 3.48 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# machineLearningCode
Some of the machine learning functions I've implemented: for learning purpose
# example of usage
1. [K nearest neighbours vs condendes nearest neighbours](https://yanndubs.github.io/machineLearningCode/knn-cnn/knnCnn.html)
2. [vector quantization with k means](https://yanndubs.github.io/machineLearningCode/vectorQuantisation/vectorQuantisation.jpg)
3. [possible problems with least squares RBF](https://yanndubs.github.io/machineLearningCode/leastSquareRBF-problem/leastSquareRBF-problem.pdf)
4. [residue removal by robust PCA](https://yanndubs.github.io/machineLearningCode/ApplicationRobustPCA/ApplicationRobustPCA.html)
5. [data interpolation by deep learning](https://yanndubs.github.io/machineLearningCode/deepLearningInterpolation/deepLearningInterpolation.html)