AI/ML Course links: Check out our AI/ML Course syllabus. If you haven’t already, please make sure to register so we can add you to our AI/ML Course email list. Here is an archive of information emails from previous weeks of the course. AI/ML Course materials will be updated weekly and will remain online indefinitely.
AI/ML Week 2 Data Exercise: Please complete the AI/ML Week 2 Data Exercise after viewing the Week 2 videos. Please push your code to GitHub and submit a link to your file here. We do not “grade” your submissions for accuracy. Rather, we use them to determine who is participating in the course and can receive a Certificate of Completion/invitation to Project Month (April 4 - 29, 2022). Solutions for this week’s data exercise can be found on our GitHub.
ABCD Data Access Confirmation: If you wish to access ABCD data you will need an active Data Use Certification (DUC) from the NDA. We provide instructions on how to obtain ABCD data access to help with this process. Once you have an approved DUC please complete our ABCD Data Access Confirmation. Note that you do not need to have ABCD data access in order to take the AI/ML Course. This assignment is optional and does not count towards completion of the course. However, students who do not successfully complete this assignment will not be allowed to participate in Project Month.
ABCD-ReproNim JupyterHub Access Request: ABCD-ReproNim students with active DUCs can access to the new ABCD-ReproNim JupyterHub, a cloud-based scientific computing platform that is fully accessible through an internet browser (see this link for details about the JupyterHub project!) This document introduces the ABCD-ReproNim JupyterHub, how to access it, and outlines some basic usage rules. Students can use the Hub to work on Data Exercises and perform ABCD data analysis projects during the course. ABCD-ReproNim staff will grant access to students with active DUCs who submit an Access Request. Students without an active NDA Data Use Certification are invited to follow the instructions here where they can access the same computational environment locally via Docker.
AI/ML Lecture: Supervised Machine Learning
AI/ML Lecture: Unsupervised Machine Learning
- Please take a moment to read our ABCD-ReproNim Code of Conduct.
- Add us to your address book at firstname.lastname@example.org.
- Follow us on Twitter.
- Subscribe to the ABCD-ReproNim Google calendar.
- Join the ABCD-ReproNim Course Slack.
- Create a NeuroStars account and bookmark the ABCD-ReproNim Course NeuroStars category.
- Sign up for a GitHub account and follow the Course GitHub.
- Request access to the ABCD-ReproNim JupyterHub, a cloud-based scientific computing platform that is fully accessible through an internet browser. More info here.
- Hangout in the ABCD-ReproNim Gather.Town. The password to join is "Welcome2022Students".
- Check out our ABCD-ReproNim Course FAQ.