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GitHub / kyomangold / ETH-MachineLearning
Repository for the code of the "Introduction to Machine Learning" (IML) lecture at the "Learning & Adaptive Systems Group" at ETH Zurich.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kyomangold%2FETH-MachineLearning
Stars: 1
Forks: 0
Open Issues: 0
License: None
Language: Python
Repo Size: 568 MB
Dependencies:
0
Created: 5 months ago
Updated: 5 months ago
Last pushed: 5 months ago
Last synced: 4 months ago
Topics: autoencoders, expectation-maximization, gaussian-bayesian-networks, gaussian-mixture-models, generative-adversarial-network, k-means-clustering, kernel-methods, kernel-pca, linear-regression, logistic-regression, maximum-a-posteriori-estimation, maximum-likelihood-estimation, naive-bayes-classifier, neural-networks, principal-component-analysis, unsupervised-learning
Files
No dependencies found