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Jeremy Howard

Jeremy Howard

Founding Researcher, fast.ai

Former President & Chief Scientist, Kaggle

Former Founding CEO, Enlitic

Bio

Jeremy Howard is a data scientist, researcher, developer, educator, and entrepreneur. 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, the chair of WAMRI, and is Chief Scientist at platform.ai. Previously, Jeremy was the founding CEO Enlitic, which was the first company to apply deep learning to medicine, and was selected as one of the world’s top 50 smartest companies by MIT Tech Review two years running. He was the President and Chief Scientist of the data science platform Kaggle, where he was the top ranked participant in international machine learning competitions 2 years running. He was the founding CEO of two successful Australian startups (FastMail, and Optimal Decisions Group–purchased by Lexis-Nexis). Before that, he spent 8 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 many media appearances, including writing for the Guardian, USA Today, and the Washington Post, appearing on ABC (Good Morning America), MSNBC (Joy Reid), CNN, Fox News, BBC, and was a regular guest on Australia’s highest-rated breakfast news program. His talk on TED.com, “The wonderful and terrifying implications of computers that can learn”, has over 2.5 million views. He is a co-founder of the global Masks4All movement.

The fast.ai Software Ecosystem with Jeremy Howard of fast.ai

March 26, 2021

5:30 PM - 6:00 PM (30 minutes) - Coordinated Universal Time

Add to Calendar03/26/2021 5:30 PM03/26/2021 6:00 PMScale Transform - The fast.ai Software Ecosystem with Jeremy Howard of fast.ai

How to Join:

Please join the session using your unique Hopin Magic Link. Hopin Magic Links will be sent via email from events@scale.com

Session Description:

The fastai, fastcore, and nbdev open source projects work together to give developers and data scientists superpowers when it comes to building and deploying data products. This talk will show through examples how to create a clean a dataset, train a model, create a web GUI, and publish a Python package using this powerful combination of tools.

The fastai, fastcore, and nbdev open source projects work together to give developers and data scientists superpowers when it comes to building and deploying data products. This talk will show through examples how to create a clean a dataset, train a model, create a web GUI, and publish a Python package using this powerful combination of tools.

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