MLOps.community
A podcast by Demetrios Brinkmann
Categories:
382 Episodes
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Lessons Learned From Hosting the Machine Learning Engineered Podcast // Charlie You // MLOps Coffee Sessions #28
Published: 29/01/2021 -
Practical MLOps // Noah Gift // MLOps Coffee Sessions #27
Published: 26/01/2021 -
Serving ML Models at a High Scale with Low Latency // Manoj Agarwal // MLOps Meetup #48
Published: 24/01/2021 -
When Machine Learning meets privacy - Episode 9
Published: 21/01/2021 -
Machine Learning Feature Store Panel Discussion // MLOps Coffee Sessions #26
Published: 19/01/2021 -
ProductizeML: Assisting Your Team to Better Build ML Products // Adrià Romero // MLOps Meetup #47
Published: 18/01/2021 -
When Machine Learning meets privacy - Episode 8
Published: 14/01/2021 -
Most Underrated MLOps Topics // Marian Ignev MLOps // Coffee Sessions #25
Published: 12/01/2021 -
Real-time Feature Pipelines, A Personal History // Hendrik Brackmann // MLOps Meetup #46
Published: 8/01/2021 -
Machine Learning Design Patterns // Sara Robinson // MLOps Coffee Sessions #24
Published: 29/12/2020 -
SRE for ML Infra // Todd Underwood // MLOps Coffee Sessions #23
Published: 22/12/2020 -
How To Move From Barely Doing BI to Doing AI // Joe Reis // MLOps Meetup #45
Published: 20/12/2020 -
Deep in the heart of data // Carl Steinbach // MLOps Coffee Sessions #22
Published: 18/12/2020 -
When machine learning meets privacy - Episode 7
Published: 17/12/2020 -
When Machine Learning meets privacy - Episode 6
Published: 14/12/2020 -
Human-centric ML Infrastructure: A Netflix Original // Savin Goyal // MLOps Meetup #44
Published: 14/12/2020 -
A Conversation with Seattle Data Guy // Benjamin Rogojan // MLOps Coffee Sessions #21
Published: 8/12/2020 -
Monzo Bank - An MLOps Case Study // Neal Lathia // MLOps Coffee Sessions #20
Published: 7/12/2020 -
When Machine Learning meets privacy - Episode 5
Published: 3/12/2020 -
When Machine Learning meets privacy - Episode 4
Published: 26/11/2020
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.