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#8 Apr 9, 2021

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…

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#7 Apr 2, 2021

A Practical Approach to Learning ML (PLUS: How Booking.com builds ML products and more...)

Hi !Quick house-keeping note: the podcast will be taking a two week break (next episode will be released April 20). I've…

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#6 Mar 26, 2021

Rodrigo Rivera's Journey from Data Science Leader to ML Researcher (PLUS: Karpathy on AI at TSLA, Andrew Ng on ML Ops, and more...)

HI ,Next Tuesday at 5pm PT I'll be joining Adithya and Krish in their Clubhouse room to discuss deep learning in…

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#5 Mar 19, 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…

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#4 Mar 12, 2021

Bringing DevOps Practices into ML, Developing the Feast Feature Store, and more...

Hi ,The MLOps reading group that was announced in the last newsletter now has a date set for the first meetup! Next…

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#3 Feb 26, 2021

How Josh Albrecht is Starting an Independent AI Research Lab (PLUS: fine-tuning language models, Spotify's ML platform, and more...)

Hi !As I mentioned last week, I'm collaborating with the MLOps Community to start a reading group focused on ML…

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#2 Feb 19, 2021

Industrial ML, Building Tools for Data and Model Monitoring, and Ensuring Reproducibility

An exciting announcement: I'm collaborating with the amazing ML Ops Community to organize a paper reading group…

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#1 Feb 12, 2021

Managing Data Science Teams and Hiring ML Engineers (PLUS: Lessons from building AI systems for healthcare, recap of TWIMLCon, and more...)

Hi ,"New year, new me!" was what I had planned on saying to introduce my new personal site. Unfortunately, it took about…

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