MLBytes Workshop: John Bralich, Infinia ML
Neural network based approaches have achieved state-of-the-art results on many benchmark natural language processing tasks. These approaches rely on the representation of words as vectors, also called word embeddings. In this talk, different approaches for the creation of word embeddings will be discussed, as well as popular models for generating these embeddings like Word2Vec, ELMo, and others. John Bralich is currently a data scientist at Infinia ML. Prior to this, he worked for a Durham based startup as a machine learning engineer. There he applied machine learning techniques to perform medical document analysis with the goal of creating more patient-friendly medical reports. He received his Bachelor's and Master's in Electrical and Computer Engineering from Duke University. Dinner will be provided!