Speaker
Tingying Peng
Description
Topics covered involve basic concepts in statistical searning, as well as supervised learning techniques (high-dimensional regression and classification) and unsupervised learning (mixture models and dimension reduction).
This is day two of the course starting on September 21 at 2 pm.
| Target audience | PhD students and any other academics with a master degree |
|---|---|
| Learning target | Participants will understand the fundamentals behind statistical learning and standard ML techniques such as linear regression, lasso, adaboost and random forest etc. |
| Previous experience | Python, Numpy, Sklearn |
| Maximum number of participants | - |
