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 | |
link |
| Generating Molecules via Transformer | Tim Hsu | coming soon! | link |
| PCA & t-SNE | Huan-Hsin Tseng | |
coming soon! |
| Statistics, Data, and the Philosophy of Science | Matthew Reuter | - | link |
| Support Vector Machines | Jackson Lee | link | 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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