Events: Details
Unsupervised learning: dimensionality reduction via matrix decomposition
Category: | Seminar |
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Description: | Topics covered in this session:
Organizers: Alejandro Strachan, Saaketh Desai 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. |
When: | Monday 20 April, 2020, 1:00 pm - 2:00 pm EDT |
Contact: | Michael Sakano (msakano@purdue.edu) |
Where: | Online (WebEx) |
Website: | https://purdue.webex.com/join/msakano |
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