In this project, we propose an incremental learning problem for Knowledge Graphs to obtain representations for new entities and also update the representations of old entities that share facts with these newer entities.
We analyze different Machine Learning models to process Reddit data and develop a supervised classification model that can predict what community a certain comment came from.
Trained a biLSTM model using both word and character level embeddings for information retrieval from text OCR outputs of ID cards
Applying Machine Learning to March Madness College Basketball tournament for predicting tournament match results