Machine Learning Workshop for Materials Science

By Saaketh Desai

Purdue University, West Lafayete, IN

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Workshops

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Abstract

This workshop covers the fundamentals of machine learning and data science, with a focus on material science applications. This workshop includes a hands-on demonstration of the nanoHUB tool Machine Learning for Materials Science: Part 1.

Sponsored by

Nanotechnology Student Advisory Council

Cite this work

Researchers should cite this work as follows:

  • Saaketh Desai (2020), "Machine Learning Workshop for Materials Science," https://nanohub.org/resources/32278.

    BibTex | EndNote

Time

Location

121 Burton Morgan Center, Purdue University, West Lafayette, IN

Tags

  1. data science
  2. machine learning
  3. materials science
  4. NCN Group - Machine Learning
  5. NCN Group - Materials Science

Nanotechnology Student Advisory Council

Nanotechnology Student Advisory Council group image

In This Workshop

  1. Introduction to Back Propagation

    Online Presentations | 13 Feb 2020 | Contributor(s): Mauricio Segovia

  2. Data Science and Machine Learning for Materials Science

    Online Presentations | 22 Jan 2020 | Contributor(s): Saaketh Desai

    This talk covers the fundamentals of machine learning and data science, focusing on material science applications. The talk is for a general audience, attempting to introduce basic concepts such as linear regression, supervised learning with neural networks including forward and back...

  3. MSEML: Machine Learning for Materials Science Tool on nanoHUB

    Online Presentations | 27 Jan 2020 | Contributor(s): Saaketh Desai

    This talk is a hands-on demonstration using the nanoHUB tool Machine Learning for Materials Science: Part 1.