Materials + ML Workshop#

Welcome to the Materials + ML Online Book!

The Materials + ML Workshop (ML is short for Machine Learning) is a beginner-friendly workshop focused on developing basic skills in scientific Python programming, data analysis, and machine learning with a focus on how these skills can be applied to real-world research problems in materials science.

This online book contains the material that will be covered each day of the workshop. It is encouraged that you read the content for each day of the workshop prior to attending, so that you can ask questions related to what is covered each day.

Any Ideas?

If you have any ideas or feedback about how this workshop could be better structured, let us know!

You can reach the corresponding author of this workshop at: colin_burdine1@baylor.edu

Tentative Workshop Schedule:#

Session

Date

Content

Day 0

06/16/2023 (2:30-3:30 PM)

Introduction, Setting up your Python Notebook

Day 1

06/19/2023 (2:30-3:30 PM)

Python Data Types

Day 2

06/20/2023 (2:30-3:30 PM)

Python Functions and Classes

Day 3

06/21/2023 (2:30-3:30 PM)

Scientific Computing with Numpy and Scipy

Day 4

06/22/2023 (2:30-3:30 PM)

Data Manipulation and Visualization

Day 5

06/23/2023 (2:30-3:30 PM)

Materials Science Packages

Day 6

06/26/2023 (2:30-3:30 PM)

Introduction to ML, Supervised Learning

Day 7

06/27/2023 (2:30-3:30 PM)

Advanced Regression Models

Day 8

06/28/2023 (2:30-3:30 PM)

Unsupervised Learning

Day 9

06/29/2023 (2:30-3:30 PM)

Neural Networks

Day 10

06/30/2023 (2:30-3:30 PM)

Advanced Applications in Materials Science

Video Recordings of Workshop Sessions:#

Video recordings of the sessions can be found on mediaspace.baylor.edu. Accessing these recordings requires a Baylor email address. If you are having trouble accessing the recordings, please send an email to colin_burdine1@baylor.edu

Workshop Session Slides#

You can access the slides for the workshop below:

Table of Contents#