MLOps.community
En podcast af Demetrios Brinkmann
Kategorier:
383 Episoder
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Fixing Your ML Data Blind Spots // Yash Sheth // MLOps Coffee Sessions #102
Udgivet: 10.6.2022 -
Declarative Machine Learning Systems: Big Tech Level ML Without a Big Tech Team // Piero Molino // MLOps Coffee Sessions #101
Udgivet: 3.6.2022 -
Scaling Real-time Machine Learning at Chime // Peeyush Agarwal // Lightning Sessions #1
Udgivet: 27.5.2022 -
MLOps Critiques // Matthijs Brouns // MLOps Coffee Sessions #100
Udgivet: 27.5.2022 -
CPU vs GPU // Ronen Dar & Gijsbert Janssen van Doorn // MLOps Coffee Sessions #99
Udgivet: 20.5.2022 -
Racing the Playhead: Real-time Model Inference in a Video Streaming Environment // Brannon Dorsey // Coffee Sessions #98
Udgivet: 12.5.2022 -
Real-Time Exactly-Once Event Processing with Apache Flink, Kafka, and Pinot //Jacob Tsafatinos // MLOps Coffee Sessions #97
Udgivet: 5.5.2022 -
FastAPI for Machine Learning // Sebastián Ramírez // MLOps Coffee Sessions #96
Udgivet: 2.5.2022 -
MLOps as Tool to Shape Team and Culture // Ciro Greco // MLOps Coffee Sessions #95
Udgivet: 25.4.2022 -
Traversing the Data Maturity Spectrum: A Startup Perspective // Mark Freeman // Coffee Sessions #94
Udgivet: 21.4.2022 -
Model Monitoring in Practice: Top Trends // Krishnaram Kenthapadi // MLOps Coffee Sessions #93
Udgivet: 14.4.2022 -
Building the World's First Data Engineering Conference // Pete Soderling // MLOps Coffee Sessions #92
Udgivet: 11.4.2022 -
The Shipyard: Lessons Learned While Building an ML Platform / Automating Adherence // Joseph Haaga // Coffee Sessions #91
Udgivet: 7.4.2022 -
Bringing Audio ML Models into Production // Valerio Velardo // MLOps Coffee Sessions #90
Udgivet: 4.4.2022 -
A Journey in Scaling AI // Gabriel Straub // MLOps Coffee Sessions #89
Udgivet: 31.3.2022 -
ML Platform Tradeoffs and Wondering Why to Use Them // Javier Mansilla // MLOps Coffee Sessions #88
Udgivet: 28.3.2022 -
Don't Listen Unless You Are Going to Do ML in Production // Kyle Morris // MLOps Coffee Sessions #87
Udgivet: 17.3.2022 -
Building ML/Data Platform on Top of Kubernetes // Julien Bisconti // MLOps Coffee Sessions #86
Udgivet: 12.3.2022 -
Continuous Deployment of Critical ML Applications // Emmanuel Ameisen // MLOps Coffee Sessions #85
Udgivet: 10.3.2022 -
Lessons from Studying FAANG ML Systems // Ernest Chan // MLOps Coffee Sessions #84
Udgivet: 2.3.2022
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.