This is a synchronous, online course taking place as part of the Pittsburgh Summer Methodology Series on June 26-29, 2023. Each of these four days will run for between 10:30am - 3:30pm (New York Time/EDT/UTC-4:00) with an hour lunch break from 12:30pm - 1:30pm (approximately). Enrollment in the course and access to the video recordings requires registration, which can be purchased through the Pitt Methods website; we are pleased to offer a discounted rate for students and trainees. However, materials (slides and activities) are freely available through this website and may be re-used according to the CC-BY License.
Day | Part | Topic | Lead | Video Link |
---|---|---|---|---|
1 | A | Conceptual introductions | Girard | https://youtu.be/Yru-DYdlqW8 |
B | Tidyverse primer and data | Girard | https://youtu.be/Yru-DYdlqW8 | |
C | Data splitting and validation | Wang | https://youtu.be/FbUDnjPS4fU | |
D | Model fitting and prediction | Wang | https://youtu.be/FbUDnjPS4fU | |
2 | A | Workflows and metrics | Girard | https://youtu.be/m1Y4GDKKgz0 |
B | Feature engineering recipes | Girard | https://youtu.be/m1Y4GDKKgz0 | |
C | Resampling and cross-validation | Wang | https://youtu.be/z_occ0xflBs | |
D | Building a model: start to finish | Wang | https://youtu.be/z_occ0xflBs | |
3 | A | Regularization and elastic net | Wang | https://youtu.be/ON3YWVhVKHg |
B | GLMNET example and tuning | Girard | https://youtu.be/ON3YWVhVKHg | |
C | Decision trees and random forests | Wang | https://youtu.be/lv5PUG2GBlM | |
D | RF example and reporting | Girard | https://youtu.be/lv5PUG2GBlM | |
4 | A | Support vector machines | Girard | https://youtu.be/69kW8IoZ7n8 |
B | Practical issues | Wang | https://youtu.be/69kW8IoZ7n8 | |
C | Consulting | NA | ||
D | Consulting | NA |
Video recordings of the course meetings are posted as private YouTube videos (see the links in the table above). It may take up to 6 hours for the high definition versions of the videos to be ready on YouTube. In order to access the videos, you must log into YouTube using the email address that was invited to view it. If you would like us to invite a different email address than the one you registered for the course with, please let us know via email or Slack direct message.
Important announcements will be emailed to registered attendees.
However, attendees are strongly encouraged to join the course’s Slack
workspace. This workspace will provide a place for questions, answers,
comments, and other discussions to occur in a more permanent place. We
will monitor the Zoom chat window but this disappears when you leave a
meeting, so Slack is the preferred method for communication. There will
be several channels for discussion of different topics (i.e.,
#announcements
for news and updates related to the course,
#general
for questions and comments related to the course,
and #random
for questions and comments unrelated to the
course). More personal or sensitive communications should occur via
email or Slack direct messages.
An invitation to join this Slack workspace was emailed to registered attendees.
If you are new to Slack, click here for an introductory guide
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