Want to know more about AI and machine learning? There are plenty of resources to help out – blogs, podcasts, YouTube tutorials – maybe too many.
Machine learning engineer Santiago Valderrama has taken a much more focused approach to help us all get smarter in the field.
He has built a following by posting one machine learning question on his website every day bnomial.com†
Think of it as Wordle for those who want to learn more about machine learning.
As Valderrama wrote on a LinkedIn post, “I got together with some friends and built bnomial † a site with a simple purpose, a non-BS easy way to learn something new as quickly as possible. We published one machine learning question every day. That is it. You load the page, answer the question and return the next day. Rinse and repeat.”
NVIDIA AI podcast host Noah Kravitz caught up with Valderrama to talk to him about binomial, how to get smart about machine learning, and his own journey in the field.
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In addition to being an entrepreneur and CEO of several startups, including Zero Shot Bot, Jason Mars is an associate professor of computer science at the University of Michigan and the author of Breaking Bots: Inventing a New Voice in the AI Revolution† He discusses how the latest AI techniques intersect with the very ancient art of conversation.
Recommendation Systems 101: NVIDIA’s Even Oldridge Breaks It Down
Even Oldridge, senior manager of the Merlin team at NVIDIA, is delving into how recommendation systems work — and why these systems are used by companies in industries around the world.
Imagine building an engine with 54 billion parts. Now imagine that each piece is the size of a mosquito’s eyelash. That gives you an idea of the scale at which Jonah Alben works. Alben is the co-leader of GPU engineering at NVIDIA. The engines he builds are GPUs – which do much of the heavy lifting for the latest and greatest form of computing today: AI.
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