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Real-time Machine Learning with Chip Huyen // MLOps Coffee Sessions #133

Real-time Machine Learning with Chip Huyen // MLOps Coffee Sessions #133

FromMLOps.community


Real-time Machine Learning with Chip Huyen // MLOps Coffee Sessions #133

FromMLOps.community

ratings:
Length:
59 minutes
Released:
Nov 22, 2022
Format:
Podcast episode

Description

MLOps Coffee Sessions #133 {Podcast BTS} with Chip Huyen, Real-time Machine Learning with Chip Huyen co-hosted by Vishnu Rachakonda.

// Abstract
Forcing functions and how you can supercharge your learning by putting yourself into a situation where you know you either have a responsibility to others to learn or accountability on you so you have to learn.  

It's not that hard when you think about streaming machine learning. It's not that big of a mental barrier to cross. It is simple in theory but maybe it's more complicated in practice and that's exactly where Chip's perspective is.

// Bio
Chip Huyen is a co-founder of Claypot AI, a platform for real-time machine learning. Previously, she was with Snorkel AI and NVIDIA. She teaches CS 329S: Machine Learning Systems Design at Stanford. She’s the author of the book Designing Machine Learning Systems, an Amazon bestseller in AI.

// MLOps Jobs board  
https://mlops.pallet.xyz/jobs

// MLOps Swag/Merch
https://mlops-community.myshopify.com/

// Related Links
Landing page: https://claypot.ai
Designing Machine Learning Systems book:
https://www.amazon.com/Designing-Machine-Learning-Systems-Production-Ready/dp/1098107969

--------------- ✌️Connect With Us ✌️ -------------
Join our slack community: https://go.mlops.community/slack
Follow us on Twitter: @mlopscommunity
Sign up for the next meetup: https://go.mlops.community/register
Catch all episodes, blogs, newsletters, and more: https://mlops.community/

Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/
Connect with Vishnu on LinkedIn: https://www.linkedin.com/in/vrachakonda/
Connect with Chip on LinkedIn: https://www.linkedin.com/in/chiphuyen/
Released:
Nov 22, 2022
Format:
Podcast episode

Titles in the series (100)

Weekly talks and fireside chats about everything that has to do with the new space emerging around DevOps for Machine Learning aka MLOps aka Machine Learning Operations.