MLOps.community
En podcast af Demetrios Brinkmann
Kategorier:
383 Episoder
-
Machine Learning Design Patterns for MLOps // Valliappa Lakshmanan // MLOps Meetup #49
Udgivet: 2.2.2021 -
Lessons Learned From Hosting the Machine Learning Engineered Podcast // Charlie You // MLOps Coffee Sessions #28
Udgivet: 29.1.2021 -
Practical MLOps // Noah Gift // MLOps Coffee Sessions #27
Udgivet: 26.1.2021 -
Serving ML Models at a High Scale with Low Latency // Manoj Agarwal // MLOps Meetup #48
Udgivet: 24.1.2021 -
When Machine Learning meets privacy - Episode 9
Udgivet: 21.1.2021 -
Machine Learning Feature Store Panel Discussion // MLOps Coffee Sessions #26
Udgivet: 19.1.2021 -
ProductizeML: Assisting Your Team to Better Build ML Products // Adrià Romero // MLOps Meetup #47
Udgivet: 18.1.2021 -
When Machine Learning meets privacy - Episode 8
Udgivet: 14.1.2021 -
Most Underrated MLOps Topics // Marian Ignev MLOps // Coffee Sessions #25
Udgivet: 12.1.2021 -
Real-time Feature Pipelines, A Personal History // Hendrik Brackmann // MLOps Meetup #46
Udgivet: 8.1.2021 -
Machine Learning Design Patterns // Sara Robinson // MLOps Coffee Sessions #24
Udgivet: 29.12.2020 -
SRE for ML Infra // Todd Underwood // MLOps Coffee Sessions #23
Udgivet: 22.12.2020 -
How To Move From Barely Doing BI to Doing AI // Joe Reis // MLOps Meetup #45
Udgivet: 20.12.2020 -
Deep in the heart of data // Carl Steinbach // MLOps Coffee Sessions #22
Udgivet: 18.12.2020 -
When machine learning meets privacy - Episode 7
Udgivet: 17.12.2020 -
When Machine Learning meets privacy - Episode 6
Udgivet: 14.12.2020 -
Human-centric ML Infrastructure: A Netflix Original // Savin Goyal // MLOps Meetup #44
Udgivet: 14.12.2020 -
A Conversation with Seattle Data Guy // Benjamin Rogojan // MLOps Coffee Sessions #21
Udgivet: 8.12.2020 -
Monzo Bank - An MLOps Case Study // Neal Lathia // MLOps Coffee Sessions #20
Udgivet: 7.12.2020 -
When Machine Learning meets privacy - Episode 5
Udgivet: 3.12.2020
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.