Topics covered in this session:

• Introduction to PCA and NMF methods
• Hands-on example of detecting chemistry in explosives

Organizers: Alejandro Strachan, Saaketh Desai
Leader: Michael Sakano

Register for this seminar

Hands-on data science and machine learning training

Is COVID-19 affecting access to your labs and slowing down experimental work? Would you like to develop new skills in data science and machine learning during this time?

If so, nanoHUB and a group of volunteer students can help. Learn how to use repositories, manage data and train models using machine learning with hands-on activities. No background in coding is required and there is no need to install any software. All you need is an internet connection and a web browser.

IMPORTANT: For the live sessions, we request everyone to sign up for a nanoHUB account.

1. dimensionality reduction
2. matrix decomposition
3. NMF
4. PCA
5. unsupervised learning