Tag: machine learning

Sentiment Analysis, Counterfactuals, and the Neural Tangent Kernel @ PNNL

by Emma Drobina with Andrew Engel and Tony Chiang What is the Neural Tangent Kernel? I expect many people reading this are familiar with sentiment analysis – using…

N-Dimensional Data Analysis and Visualization (NDDAV) @ LLNL

  Team: Emma Drobina, Shusen Liu, Peer-Timo Bremer Machine learning models for scientific applications often learn complex, high-dimensional functions that are difficult to understand on their own.  Additionally,…

Confronting Bias in Machine Learning @ Universidad El Bosque

Team: Emma Drobina I was invited to give a virtual presentation at the 2019 Human-Centered Computing International Summit arranged by Universidad el Bosque in Colombia by a colleague…

The Fallacy of Objectivity

Team: Rua M. Williams, Jeremy Waisome, Kyla McMullen, Emma Drobina This past week,  I co-presented a workshop at the 2019 ACM Tapia Celebration of Diversity in Computing. Inspired…

Trust in Artificial Explainable Intelligence (TAXI)

Team: Mahsan Nourani, Emma Drobina, Brianna Richardson, Prashant Singh As machine learning has become more widespread, the question of explainability has reared its head. Many machine learning algorithms…

Machine Learning Tutorial for FAMU-FSU Visit

Team: Diandra Prioleau, Kiana Alikhademi, Brianna Richardson and Emma Drobina On March 15th, 2019, a group of students from Florida A&M University and Florida State University’s College of…