Machine Learning for Materials Bootcamp 2023
During these boot-camps we will introduce key tools and skills for working for building machine learning models with materials science data. The boot-camps are targeted at new or potential researchers with a focus on undergraduate researchers who want to build skills related to machine learning research.
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July Boot-camp: 18th, 19th, and 20th - 11am to 2pm central time via Zoom
August Boot-camp: 15th, 16th, and 17th - 11am to 2pm central time via Zoom
These three-day bootcamps are free, remote, and open to everyone, and registration is now open using the button below. Sign up today!
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Details for the July boot camp session are included in the section below. August Details are being updated and the links are live to preview materials!
Boot-camp Structure
Overview:
Each introductory boot-camp is held over a period of three consecutive days, with three hour sessions held during each day. The three hours will be broken into two 1.5 hour sessions consisting of a thirty minute introductory lecture followed by an hour of hands on activities.
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Between each days activities there are optional drop-in "office hour" sessions for further discussion and individual learning opportunities.
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Goals:
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Introduce participants to common concepts and skills used in applied machine learning research
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Spark interest in further skill building related to machine learning
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Prerequisites:
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Basic Python knowledge.
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Access to a Google account and Google Drive and the Google Colab platform (if wanting to participate fully in interactive activities).
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Day 1
Working with Tabular Data
Key Ideas:
- How do we featurize data to represent materials?
- How do we assess models
Day 2
Working with Image Data
Key Ideas:
- What are common tasks we can accomplish with image models?
- What are the various deep learning model architectures we can use?
Day 3
Working with Text Data
Key Ideas:
- How can we incorporate large language models into our research workflows?
July Boot Camp Details
1 / Dates and Times
July 18, 19, 20
11:00 am to 2:00 pm CST (GMT -5:00)
2 / Meeting Links
Meeting links are shared out though the boot camp shared google drive Agenda Document.
3 / Setup for Interactive Activities
During the boot camp the majority of the time will be spent walking through interactive Python notebook code hosted through Google Colab. To fully participate attendees will need access to a google account with google drive. This is used to share the data and notebooks used in the activities. Instructions for configuring the shared drive are included in the Agenda Document.
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Additionally an OpenAi account and API will needed to participate fully in the Day 3 Activities focused on utilizing large language models. With an account generated you can generate an API key on your account page.
3 / Boot Camp Materials
All of the boot camp presentation slides, data, and activities, are included in the shared google drive directory.
August Boot Camp Details
1 / Dates and Times
August 15, 16, 17
11:00 am to 2:00 pm CST (GMT -5:00)
2 / Meeting Links
Meeting links are shared out though the boot camp shared Agenda document.
3 / Setup for Interactive Activities
During the boot camp the majority of the time will be spent walking through interactive Python notebook code hosted through Google Colab. To fully participate attendees will need access to a google account with google drive. This is used to share the data and notebooks used in the activities. Instructions for configuring the shared drive are included in the Agenda Document.
​
Additionally an OpenAi account and API will needed to participate fully in the Day 3 Activities focused on utilizing large language models. With an account generated you can generate an API key on your account page.
3 / Boot Camp Materials
All of the boot camp presentation slides, data, and activities, are included in the shared Google Drive directory.