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Astroinformatics, Done, Not Done - Coggle Diagram
Astroinformatics
Monday
Machine Learning for regression
linear_regression.jl
logistics_regression.jl
Machine learning for classification
Data mining I: Introduction to databases & SQL
Data mining II: SQL Lab
There is a pdf for this in day 1:
Lab 4 Instructions SQL.pdf
Introduction to philosophy of data-driven models & machine learning
Tuesday
Recorded lesson for Regularized Regression
Regularized Regression Lab
ML for Dimensional Reduction I
(Ashley Villar)
Principal Components Analysis (pca_intro.jl)
kernel_pca_intro.jl
combining PCA with SVM
application_to_galaxy_images.ipynb
ML for Dimensional Reduction II
(Ashley Villar)
Bayesian Computing & Hierarchical Modeling Labs
monte_carlo.jl
probabilistic programming languages (PPLs) ppl_intro.jl
performing inference with hierarchical Bayesian models using the Turing PPL
ppl_hbm.jl
Wednesday
Bayesian Computing (Murali Haran)
Hierarchical Modeling Q&A (Joel Leja)
Neural Networks I (Hyungsuk Tak)
neuralnetwork_intro.jl
Neural Networks II (Hyungsuk Tak)
Recorded Hierarchical Modeling
app_hbm_galaxy_evolution.ipynb
Part 1
Part 2
Part 3
Friday
High-Performance Computing I (Chuck Pavloski & Justin Petucci)
High-Performance Computing II (Chuck Pavloski & Justin Petucci)
High Performance Computing Lab Tutorial
Integrating the Pieces (Eric Ford)
Thursday
Variational Inference I (Jeffrey Regier)
vi_image_interpretation.ipynb
Variational Inference II (Jeffrey Regier)
Scientific Machine Learning (Chris Rackauckas)
Scientific Machine Learning Lab Tutorial
Part 1
Part 2
Done
SQL
R
Julia
Statistical Theory
Python
Not Done
Julia
SQL
R
Python
Statistical Theory