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An illustration of a silhouette of a human head with code and hexagons inside it.

Popular Deep Learning course goes beyond the fundamentals

In the popular “Machine Learning: Deep Learning" course created by Mathias Unberath, students team up to design, implement, and validate deep learning-based solutions to contemporary problems.

An illustration of a blue circuit board.

Engineering course teaches students to harness power of AI for good

Computer scientist Mathias Unberath teaches the fundamentals of artificial intelligence and ethical approaches to using the powerful technology.

Headshot of Naresh Nandakuma.

PhD student Naresh Nandakumar wins Best Paper Award at MICCAI workshop

He won the "Best Paper Award" at the 3rd International Workshop on Machine Learning in Clinical Neuroimaging (MLCN 2020), held in conjunction with MICCAI 2020.

Headshot of Eli Sherman.

Eli Sherman named 2020 Google Machine Learning Fellow

With the fellowship, Sherman, a PhD candidate advised by Ilya Shpitser, will investigate how machine learning can help improve clinical decision-making and allocation of healthcare resources.

Correlation graph with pink, blue, green, and yellow lines and blue dots.

Course urges caution about causation

Malone Center graduate students teach Intersession course "Should Susan Smoke? An Introduction to Causal Inference," where each week students pore over case studies to sharpen their reasoning skills.

Students pose with their final projects for Machine Learning: Deep Learning in Hackerman Hall.

Deep learning course prepares students for success in AI careers

Machine Learning: Deep Learning, taught by Mathias Unberath, introduces students to deep learning, a subdiscipline of AI in which a computer tries to discover meaningful patterns from data to make decisions.