ABSTRACT: Recent discussion in the public sphere about classification by algorithms has involved tensions between competing notions of what it means for such a classification [...]
ACM AI's Intro to Machine Learning: Advanced Track workshops teach topics such as neural networks and deep learning for students on campus. ACM AI is [...]
Seminar designed to engage all engineering students, primarily those without prior experience, in the process of soliciting, securing, and beginning research.
ABSTRACT: Model based reinforcement learning refers to reinforcement learning methods that explicitly construct and reason with models of the environment of the learning agent. There [...]
ABSTRACT: Over the past decade, the ability to sequence genomes from both present-day and archaic humans (including our closest evolutionary relatives, the Neanderthals) has transformed [...]
ACM AI's Intro to Machine Learning: Advanced Track workshops teach topics such as neural networks and deep learning for students on campus. ACM AI is [...]
Jack Gong, 3rd year graduate student, will give a talk on how the interview process is like for Computer Science students, speaking from the experience [...]
ACM AI's Intro to Machine Learning: Advanced Track workshops teach topics such as neural networks and deep learning for students on campus. ACM AI is [...]
The graduate women in computer science group would like to hold a tutorial workshop that teaches students how to use basic terminal based text editing [...]