Jeremy Howard, fast.ai and USF
If you want to be accepted into the ML hipster clique, just say the magic words: "deep learning is over-hyped," and watch those around you nod their heads sagely. But as a deep learning researcher I see little sign of that in practice. Approaches that are well understood in academia are not being well used in the infosec community, despite clear advantages. Perhaps it is actually the case that "deep learning is over-hyped" is over-hyped.
Jeremy Howard, fast.ai and USF
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 has been selected one of the world’s top 50 smartest companies by MIT Tech Review two years running. He was previously the President and Chief Scientist of the data science platform Kaggle, where he was the top-ranked participant in international machine learning competitions two 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 eight years in management consulting at McKinsey & Co and AT Kearney. Jeremy has invested in, mentored, and advised many startups, and has contributed to many open source projects.
He has many television and other 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.
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author = {Jeremy Howard},
title = {Some Thoughts on Deep Learning and Infosec},
year = {2018},
address = {Santa Clara, CA},
publisher = {USENIX Association},
month = jan
}