mladvanced-notebooks

Notebook files for the Advanced ML (CSE610) course by Varun Chandola

Name		Name	Last commit message	Last commit date
Latest commit History 25 Commits
images		images
Bayesian Optimization with GP.ipynb		Bayesian Optimization with GP.ipynb
BayesianRegression.ipynb		BayesianRegression.ipynb
Course Introduction.ipynb		Course Introduction.ipynb
Course Primer.ipynb		Course Primer.ipynb
CovarianceFunctions.ipynb		CovarianceFunctions.ipynb
GPR with Noisy Inputs.ipynb		GPR with Noisy Inputs.ipynb
GPy.ipynb		GPy.ipynb
Gaussian Process Latent Variable Models.ipynb		Gaussian Process Latent Variable Models.ipynb
Gaussian processes and Deep Learning.ipynb		Gaussian processes and Deep Learning.ipynb
GaussianProcessClassification.ipynb		GaussianProcessClassification.ipynb
GaussianProcesses.ipynb		GaussianProcesses.ipynb
Handling Complex Modeling Scenarios with GP.ipynb		Handling Complex Modeling Scenarios with GP.ipynb
Heteroscedastic GPR.ipynb		Heteroscedastic GPR.ipynb
KernelRegression.ipynb		KernelRegression.ipynb
Machine Learning Models.ipynb		Machine Learning Models.ipynb
Model Interpretability with GPs.ipynb		Model Interpretability with GPs.ipynb
ModelSelection.ipynb		ModelSelection.ipynb
Multioutput GPs.ipynb		Multioutput GPs.ipynb
Non-parametric Bayesian Methods for Clustering.ipynb		Non-parametric Bayesian Methods for Clustering.ipynb
README.md		README.md
Scaling GP.ipynb		Scaling GP.ipynb
Utilities.ipynb		Utilities.ipynb
bayesian_optimization_util.py		bayesian_optimization_util.py
pca.py		pca.py
synthetic_disease_data1.csv		synthetic_disease_data1.csv
synthetic_disease_data2.csv		synthetic_disease_data2.csv

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