Tutorial seminars presented as part of the Brookhaven National Laboratory AI/ML Working Group
Note
On the bnl.indico.gov
event pages, click the .mp4
file near the bottom to watch the recording!
Tutorial | Author | Colab link(s) | Presentation |
---|---|---|---|
NumPy and Tabular Data | Matthew R. Carbone | link | |
K-nearest Neighbors Regression | Jackson Lee | link | |
Random Forests | Matthew R. Carbone | link | |
Dimensionality Reduction | Matthew R. Carbone | link | |
Gaussian Processes | Maxim Ziatdinov | link | link |
PyTorch Essentials | Felix Jimenez | coming soon! |
The event link on indico.bnl.gov
can be found here.
Tutorial | Author | Colab link | Presentation |
---|---|---|---|
General introduction to Python | Dakota Blair | link | |
Numpy and tabular data | Matthew R. Carbone | link | |
Introduction to machine learning | Yi Huang | link | |
Introduction to PyTorch and autograd | Yihui (Ray) Ren | link | |
Introduction of CNNs and image classification | Sandeep Mittal | link |
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