James Zou: "Deep learning for genomics: Introduction and examples"
42:46
Xiaoquan (William) Wen: "Bayesian approaches to integrative genetic association analysis..."
1:18:48
Efficient Computing for Deep Learning, Robotics, and AI (Vivienne Sze) | MIT Deep Learning Series
40:20
Dana Pe'er: "Having fun with single-cell RNA-seq: imputation and manifolds"
41:06
Jennifer Listgarten: "CRISPR Gene Editing with Machine Learning"
1:07:30
MIT 6.S091: Introduction to Deep Reinforcement Learning (Deep RL)
33:25
A Data Centric View of XAI with Healthcare Applications - James Zou
48:52
MIT 6.S191: Evidential Deep Learning and Uncertainty
57:55