Events: Details

Machine Learning Framework for Impurity Level Prediction in Semiconductors workshop

Category: conference/workshop
Description:

Register now: 
https://purdue.webex.com/purdue/onstage/g.php?MTID=e088a6ccfa042d4ac13bdb4450fa3d14b

Speaker: Dr. Arun Mannodi, Argonne National Laboratory

This series of workshops introduces participants to important concepts and techniques in data science and machine learning in the context of engineering and physical sciences applications. All workshops include hands-on activities, where participants apply the techniques to solve real problems using online resources at nanoHUB, no need to install any software. 

Registration and online compute resources are free of charge. 

Target audience: The workshops are designed for students, researchers, and industrial practitioners interested in exploring data science in a hands-on manner. The offerings assume little prior experience with machine learning and minimal programming experience.

Register now: 
https://purdue.webex.com/purdue/onstage/g.php?MTID=e088a6ccfa042d4ac13bdb4450fa3d14b

When: Wednesday 11 November, 2020, 1:00 pm - 2:00 pm EST
Contact: desai61@purdue.edu
Where: Online (virtual format)
Website: https://purdue.webex.com/purdue/onstage/g.php?MTID=e088a6ccfa042d4ac13bdb4450fa3d14b
Field of Materials Research: N/A
Tags:
  1. machine learning
  2. materials science
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