Speaker
Tingying Peng
Description
Topics covered involve basic concepts in statistical learning, as well as supervised learning techniques (high-dimensional regression and classification) and unsupervised learning (mixture models and dimension reduction).
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| 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 | - |
