machine learnings


RFA: AI & Healthcare

Call for Applications: Reserach at the Intersection of AI and Healthcare

The UC Davis Artificial Intelligence (AI) in Healthcare Working Group is requesting applications for innovative approaches for the use of AI in healthcare. Our goal is to establish cross-campus collaborations for the generation, enhancement, and use of AI, automation …

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AI and Healthcare Mixer

Artificial Intelligence (AI) and Healthcare Research and Clinical Mixer

UC Davis Health and the ML/AI Working Groups are hosting a mixer for faculty researchers and clinicians interested in working at the interface of AI and healthcare. The goal of the mixer is to expand department, school and cross-causeway collaborations …

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AI and Healthcare Symposium

Inaugural Artificial Intelligence and Machine Learning Symposium

UC Davis faculty and clinicians interested in the interface of AI and healthcare are invited to a one day seminar at UC Davis Health, hosted by UCD Health, Office of Entrepreneurship and Industry Alliances, and the Machine Learning and Artificial Intelligence Working Group …

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DSI Workshop: Machine Learning (part 2)

Survey of Statistical Machine Learning Concepts (part 2)

This two-part workshop series led by Dr. Duncan Temple Lang aims to provide an overview of relatively modern statistical machine learning concepts and methods including how they have evolved and what problems they address. At the end of the workshops participants should …

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DSI Workshop: Machine Learning (part 1)

Survey of Statistical Machine Learning Concepts (part 1)

This two-part workshop series led by Dr. Duncan Temple Lang aims to provide an overview of relatively modern statistical machine learning concepts and methods including how they have evolved and what problems they address. At the end of the workshops participants should …

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Workshop - Lessons from Binary Classification

In this second session, we will continue to explore machine learning with data driven examples.

Binary classification is the canonical machine learning task and its study has a rich history. Much of the main principles of machine learning have been discovered in this context. These principles continue to guide the …

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