msepostdoc-list Additional sessions now open: Hands-on training on data science & machine learning @ nanoHUB
Stacey, Lisa A
staceyl at purdue.edu
Mon Apr 6 15:01:05 EDT 2020
Forwarding on behalf of Ale Strachan:
Lisa Stacey
Administrative Assistant to the Department Head
School of Materials Engineering
Neil Armstrong Hall of Engineering
701 West Stadium Ave
West Lafayette, IN 47907
o: 765-494-4095 f: 765-494-1204
[3749DD84]<https://www.purdue.edu/?utm_source=signature&utm_medium=email&utm_campaign=purdue>
________________________________
Last week nanoHUB launched a series of open, hands-on tutorials and office hours to jumpstart the use of data science and machine
learning in research and teaching. All sessions reached capacity within a few hours and many of you were unable to sign up.
To accommodate the high demand, we added new sessions and registration is now open:
https://nanohub.org/groups/ml/handsontraining
Topics to be covered:
Session 1: Intro to Jupyter in nanoHUB, Pandas for data organization and plotting
Session 2: Repositories and data management
Session 3: Supervised learning part 1: linear regression and neural networks
Session 4: Supervised learning part 2: classification and random forests
Session 5: Unsupervised learning: dimensionality reduction via matrix decomposition
Session 6: Sequential learning and design of experiments
We hope that you can attend this workshop and walk away with enough information and practical skills to kickstart your foray into machine learning methods for your research or classroom use.
Best regards,
Prof. Ale Strachan, Materials Engineering, Purdue University
Deputy Director, nanoHUB. http://nanohub.org/
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