Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA
Jeremy Howard

Jeremy Howard
Founding Researcher | Faculty Member | CSO, fast.ai | USF | doc.ai and platform.ai

@jeremyphoward

Jeremy Howard is an entrepreneur, business strategist, developer, and educator. Jeremy is a founding researcher at fast.ai, a research institute dedicated to making deep learning more accessible. He is also a Distinguished Research Scientist at the University of San Francisco, a faculty member at Singularity University, and a Young Global Leader with the World Economic Forum. Jeremy’s most recent startup, Enlitic, was the first company to apply deep learning to medicine and was selected one of the world’s top 50 smartest companies by MIT Tech Review two years running. Previously, he was the president and chief scientist at the data science platform Kaggle, where he was the top ranked participant in international machine learning competitions two years running; was the founding CEO of successful Australian startups FastMail and Optimal Decisions Group (acquired by Lexis-Nexis); and spent eight years in management consulting at McKinsey & Co. and AT Kearney. Jeremy has invested in, mentored, and advised many startups and contributed to many open source projects. He has made a number of television and video appearances, including as a regular guest on Australia’s highest-rated breakfast news program, a popular talk on TED.com, and data science and web development tutorials and discussions.

Sessions

11:00am11:40am Wednesday, March 27, 2019
Jeremy Howard ( fast.ai | USF | doc.ai and platform.ai)
Average rating: ****.
(4.80, 5 ratings)
Jeremy Howard describes how to leverage the latest research from the deep learning and HCI communities to train neural networks from scratch—without code or preexisting labels. He then shares case studies in fashion, retail and ecommerce, travel, and agriculture where these approaches have been used. Read more.