feji3769 / aiml-tutorials

Repository for containing the tutorial series for the AI/ML working group

Artificial Intelligence and Machine Learning Tutorials

Tutorial seminars presented as part of the Brookhaven National Laboratory AI/ML Working Group

📓 Tutorials

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!

💽 Legacy series

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

Funding acknowledgement

This work is partly supported by the Brookhaven National Laboratory Center for Computing Sciences Education and Support (CCSES), and by Brookhaven National Laboratory under Contract No. DE-SC0012704.

The Software resulted from work developed under a U.S. Government Contract No. DE-SC0012704 and are subject to the following terms: the U.S. Government is granted for itself and others acting on its behalf a paid-up, nonexclusive, irrevocable worldwide license in this computer software and data to reproduce, prepare derivative works, and perform publicly and display publicly.

THE SOFTWARE IS SUPPLIED "AS IS" WITHOUT WARRANTY OF ANY KIND. THE UNITED STATES, THE UNITED STATES DEPARTMENT OF ENERGY, AND THEIR EMPLOYEES: (1) DISCLAIM ANY WARRANTIES, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO ANY IMPLIED WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, TITLE OR NON-INFRINGEMENT, (2) DO NOT ASSUME ANY LEGAL LIABILITY OR RESPONSIBILITY FOR THE ACCURACY, COMPLETENESS, OR USEFULNESS OF THE SOFTWARE, (3) DO NOT REPRESENT THAT USE OF THE SOFTWARE WOULD NOT INFRINGE PRIVATELY OWNED RIGHTS, (4) DO NOT WARRANT THAT THE SOFTWARE WILL FUNCTION UNINTERRUPTED, THAT IT IS ERROR-FREE OR THAT ANY ERRORS WILL BE CORRECTED.

IN NO EVENT SHALL THE UNITED STATES, THE UNITED STATES DEPARTMENT OF ENERGY, OR THEIR EMPLOYEES BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, CONSEQUENTIAL, SPECIAL OR PUNITIVE DAMAGES OF ANY KIND OR NATURE RESULTING FROM EXERCISE OF THIS LICENSE AGREEMENT OR THE USE OF THE SOFTWARE.