Organized by Penn State Center for Astrostatistics
Optimization (github)
- Gradient Descent Lab
This lab serves two purposes: providing intution about the gradient descent algorithm for optimizing functions and making sure that students are able to access the servers for the workshop.
Regression & Classification (github)
- Linear Regression Lab
- Logistic Regression Lab
- Application: Classifying High-redshift Quasars I Lab
- Intro to Databases & SQL (slides)
- SQL Lab:
- Getting started with SciServer.org instructions: (text) & (video)
- SQL Lab instructions
Regularized Regression for Machine Learning (github)
- Regularized Regression Lab
Dimensional Reduction (github)
- Intro to PCA Lab
- Kernel PCA & SVMs Lab
- Application: Classifying High-redshift Quasars II Lab
- Application: Galaxy classification Lab
Bayesian Computing (github)
- Monte Carlo Integration Lab
- Application: Hierarchical Model of Galaxy Evolution
- Intro to Probabilistic Programming Languages Lab
- Hierarchical Modeling via a PPL
Neural Networks (github)
- Application: Neural Networks Lab (Classifying High-redshift Quasars III)
Variational Inference (github)
- Application: Image classificaiton
Scientific Machine Learning (github)
- Scientific Machine Learning Lab
High-Performance Computing (github)
- Linear Algebra with GPUs Lab
- Neural Networks with GPUs Lab