What does data-centric ML look like in practice?

Hi ,Quick reminder that the podcast is on a break this and next week--I'll be back with a new interview on Tuesday April 20!The last two newsletter editions have featured both Andrej Karpathy and Andrew Ng discussing the need for an in...

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Apr 09, 2021
What does the future of ML infrastructure look like?

Hi !The reading group I'm starting in collaboration with the MLOps Community will be kicking off tomorrow, March 19 at 5pm UTC! We're discussing the classic Google article "Rules of Machine Learning". If you're interested in participating, join the #...

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Mar 19, 2021
Peiyuan Liao: The 20 Year-Old Kaggle Grandmaster

Peiyuan Liao is the youngest Chinese Kaggle grandmaster at only 20 years old with numerous gold medals and 1st, 2nd, and 3rd place finishes. He helped research two deep learning papers while in high school and now researches adversarial attacks on gr...

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Oct 27, 2020
Sanyam Bhutani: Chai Time Data Science

Sanyam Bhutani is a Machine Learning Engineer at http://h2o.ai (H2O.ai) and host of the Chai Time Data Science Show. Learn more about Sanyam: Website: https://sanyambhutani.com/ (https://sanyambhutani.com/) YouTube: https://www.youtube.com/c/ChaiTime...

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Oct 06, 2020
Devon Bernard: "If you can sell it, I can build it"

Devon Bernard is an incredible full-stack engineer, manager, and entrepreneur. He's co-founded multiple companies including FlowActive, Jowl, and Rollio in addition to holding top engineering roles at Enlitic, Axgen, and now Somml. Learn more about D...

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Sep 29, 2020
Catherine Yeo: Fairness in AI and Algorithms

http://catherineyeo.tech/ (Catherine Yeo) is a Harvard undergrad studying Computer Science. She's previously worked for Apple, IBM, and MIT CSAIL in AI research and engineering roles. She writes about machine learning in Towards Data Science and in h...

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Sep 23, 2020