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imagehttps://public.confluence.arizona.edu/download/attachments/128811060/circuits-1422928.jpg?api=v2
titleMachine Learning on HPC


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About

We see a lot of growth in the use of Machine Learning and Deep Learning across many domains. We provide two workshops, one in Python and the other in R, that provide some basic ML information and some hands-on exercises. Once you have an HPC account you can use our Jupyter notebooks or RStudio. You can also do the exercises on your laptop. We can also bring these to department meetings.



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titleContents
Table of Contents





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Machine Learning in Python

This short training class provides a brief introduction to key concepts of machine learning.  The short lecture will be followed by two hands-on examples that emphasize running a Jupyter notebook on the HPC supercomputers. For the presence workshop you can stick around and use this as a consulting session.

Schedule

Excerpt


DateTimeLocationRegistration


9:00 - 10:00amMain Library, Data Studio CATalystRegistration

9:00 - 10:00amMain Library, Data Studio CATalyst

9:00 - 10:00amRoom 130A UITS Building

9:00 - 10:00amRoom 130A UITS Building

9:00 - 10:00amRoom 130A UITS Building


Training Materials

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idPython Training Materials


Card
idpython_pdf
labelWorkshop PDF
titleClick here for to see a PDF of the Python ML slides

View file
nameIntro to AI ML.pdf
height250


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idpython_video
labelVideo Presentation
titleClick here for a video presentation of our workshop

Multimedia
nameML-HPC.mp4


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idpython_interactive
labelInteractive Guide
titleClick image for our interactive guide





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nameML-with R.pptx
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Machine Learning in R

This short training class provides a brief introduction to key concepts of machine learning It's a little different from the above one even considering the focus on R instead of Python.  The short lecture will be followed by two hands-on examples that emphasize using RStudio on the HPC supercomputers.  You can use RStudio on your laptop if you prefer.  

Schedule

Excerpt


DateTimeLocationRegistration


10:30 - 11:30amMain Library, Data Studio CATalystRegistration

10:30- 11:30amMain Library, Data Studio CATalyst

1:00 - 3:00pmResBaz Virtual Conference


Training Materials


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idR Training Materials


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nameML-with R.pdf
height250


View file
nameML-with R.pptx
height250