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Past In-Person Learning Experiences

 

Tuesday, July 7 - 4:00pm
Location: Virtual, Classroom
Instructor: David Carlson

There has been an explosion of scientific literature on COVID-19 in the past several months with thousands of articles already available.

Tuesday, June 30 - 4:00pm
Location: Virtual, Classroom
Instructor: Matthew Hirschey

The ability to make rapid, data-driven decisions is a key component for prioritizing COVID-19 research, treatment, and public health initiative.

Thursday, April 16 - 4:30pm
Location: Virtual, Classroom
Instructor: Andrew Michael

This training will consist of two main sections: (1) application of ML to brain images from a clinical archive to detect brain disorders and (2) extraction of brain features from a large publicly available dataset to better understand mental health.

Thursday, April 9 - 4:30pm
Location: Virtual, Classroom
Instructor: Matthew Hirschey

The ability to make data-driven decisions is redefining the future of patient care.

Wednesday, April 8 - 4:30pm
Location: Virtual, Classroom
Instructor: Ricardo Henao

Omics aims to understand biological processes by leveraging high-throughput technologies and data science. Aided by subject matter expertise, this combination has resulted in accelerated discoveries in health and disease.

Wednesday, April 8 - 4:30pm
Location: Virtual, Classroom
Instructor: Matthew Hirschey

The ability to make data-driven decisions is redefining the future of patient care.

Thursday, April 2 - 4:30pm
Location: Virtual, Classroom
Instructor: Serge Assaad

PyTorch is an open source machine learning framework popular for building neural networks. In this hands-on session, we'll walk through building and training a neural network, introducing the basic mechanics of PyTorch.

Wednesday, April 1 - 4:30pm
Location: Virtual, Classroom
Instructor: Timothy Dunn

The convolutional neural network (CNN) represents the current state-of-the-art for image and video analysis, and is increasingly used for analyzing time series and other data with spatial or sequential structure.

Tuesday, March 31 - 4:30pm
Location: Virtual, Classroom
Instructor: Matthew Kenney

AI is playing an increasingly large role in the Digital Humanities. The use of AI throughout the humanities can accelerate research, open up new forms of investigation, and create novel approaches to interacting with data.

Thursday, March 26 - 4:30pm
Location: Virtual, Classroom
Instructor: Lawrence Carin

Neural-network-based methods for natural language processing (NLP) constitute an area of significant recent technical progress, with many interesting real-world applications. The Transformer Network is one of the newest and most powerful approaches of this type.