Applied Machine Learning: Regression and Classification

Andrew Maas is co-founder and CEO of Pointable, a platform for metrics-driven development of RAG-LLM conversational agents. He previously led teams developing data-centric deep learning approaches at Apple and was a co-founder of Roam Analytics (acquired by Parexel) -- a natural language extraction platform for healthcare. Andrew earned a PhD in computer science from Stanford University, advised by Andrew Ng and Dan Jurafsky, where his work focused on large-scale deep learning for spoken and written language. Andrew also advises machine learning startups and teaches a graduate course on spoken language processing at Stanford.

Julie Kallini is a computer science PhD student at Stanford University, advised by Chris Potts and Dan Jurafsky. She is a member of the Stanford Natural Language Processing (NLP) group, and her research broadly spans topics in NLP, machine learning interpretability, and computational linguistics. Previously, Julie was a software engineer at Meta, where she applied machine learning and content understanding techniques to privacy problems in advertisements. Before joining Meta, Julie graduated summa cum laude from Princeton University with a B.S.E. in computer science.