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Past In-Person Learning Experiences

 

Tuesday, May 4 - 12:00pm
Location: Virtual, Classroom
Instructor: William Brockelsby

Presented by William Brockelsby and Charley Kneifel

Wednesday, April 21 - 12:00pm
Location: Virtual, Classroom
Instructor: Samuel Berchuck

Hosted by Samuel Berchuck and Michael Pencina

Thursday, April 8 - 4:30pm
Location: Virtual, Classroom
Instructor: Akshay Bareja

Recurrent neural networks (RNNs) are a class of neural networks that can process sequential data, such as text. RNNs have been successfully applied to many natural language processing tasks, including text generation, classification, and translation.

Wednesday, April 7 - 4:30pm
Location: Virtual, Classroom
Instructor: Akshay Bareja

Recurrent neural networks (RNNs) are a class of neural networks that can process sequential data, such as text. RNNs have been successfully applied to many natural language processing tasks, including text generation, classification, and translation.

Wednesday, April 7 - 1:00pm
Location: Virtual, Classroom
Instructor: Ricardo Henao

Hosted by Ricardo Henao and Michael Pencina

Monday, April 5 - 11:00am
Location: Virtual, Classroom
Instructor: Michael Pencina

Hosted by David Page, Svati Shah, and Michael Pencina.

Wednesday, March 31 - 12:30pm
Location: Virtual, Classroom
Instructor: Christopher Bail

This seminar will discuss one of the most popular techniques for automatically identifying latent or hidden themes in text: topic models.

Monday, March 29 - 11:00am
Location: Virtual, Classroom
Instructor: Matthew Engelhard

Hosted by Matt Engelhard, Ben Goldstein, and Michael Pencina

Wednesday, March 24 - 4:30pm
Location: Virtual, Classroom
Instructor: Augustus Wendell

This workshop presents an ongoing body of work in computational 3D modeling. The topic revolves around the simulation and rendering of spatial geographic forms, in particular landmasses, landforms and large scale geologic features (mountain ranges).

Tuesday, March 23 - 12:00pm
Location: Virtual, Classroom
Instructor: Sarah Rispin Sedlak

Recommendation systems—such as the algorithms powering Netflix, suggesting jobs to apply for, and curating Facebook feeds—are powerful tools that can help users navigate an overwhelming array of choices. However, these systems can have negative side effects if left unchecked.