MLOps.community
A podcast by Demetrios Brinkmann
Categories:
382 Episodes
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Declarative Machine Learning Systems: Big Tech Level ML Without a Big Tech Team // Piero Molino // MLOps Coffee Sessions #101
Published: 3/06/2022 -
Scaling Real-time Machine Learning at Chime // Peeyush Agarwal // Lightning Sessions #1
Published: 27/05/2022 -
MLOps Critiques // Matthijs Brouns // MLOps Coffee Sessions #100
Published: 27/05/2022 -
CPU vs GPU // Ronen Dar & Gijsbert Janssen van Doorn // MLOps Coffee Sessions #99
Published: 20/05/2022 -
Racing the Playhead: Real-time Model Inference in a Video Streaming Environment // Brannon Dorsey // Coffee Sessions #98
Published: 12/05/2022 -
Real-Time Exactly-Once Event Processing with Apache Flink, Kafka, and Pinot //Jacob Tsafatinos // MLOps Coffee Sessions #97
Published: 5/05/2022 -
FastAPI for Machine Learning // Sebastián Ramírez // MLOps Coffee Sessions #96
Published: 2/05/2022 -
MLOps as Tool to Shape Team and Culture // Ciro Greco // MLOps Coffee Sessions #95
Published: 25/04/2022 -
Traversing the Data Maturity Spectrum: A Startup Perspective // Mark Freeman // Coffee Sessions #94
Published: 21/04/2022 -
Model Monitoring in Practice: Top Trends // Krishnaram Kenthapadi // MLOps Coffee Sessions #93
Published: 14/04/2022 -
Building the World's First Data Engineering Conference // Pete Soderling // MLOps Coffee Sessions #92
Published: 11/04/2022 -
The Shipyard: Lessons Learned While Building an ML Platform / Automating Adherence // Joseph Haaga // Coffee Sessions #91
Published: 7/04/2022 -
Bringing Audio ML Models into Production // Valerio Velardo // MLOps Coffee Sessions #90
Published: 4/04/2022 -
A Journey in Scaling AI // Gabriel Straub // MLOps Coffee Sessions #89
Published: 31/03/2022 -
ML Platform Tradeoffs and Wondering Why to Use Them // Javier Mansilla // MLOps Coffee Sessions #88
Published: 28/03/2022 -
Don't Listen Unless You Are Going to Do ML in Production // Kyle Morris // MLOps Coffee Sessions #87
Published: 17/03/2022 -
Building ML/Data Platform on Top of Kubernetes // Julien Bisconti // MLOps Coffee Sessions #86
Published: 12/03/2022 -
Continuous Deployment of Critical ML Applications // Emmanuel Ameisen // MLOps Coffee Sessions #85
Published: 10/03/2022 -
Lessons from Studying FAANG ML Systems // Ernest Chan // MLOps Coffee Sessions #84
Published: 2/03/2022 -
Better Use cases for Text Embeddings // Vincent Warmerdam // MLOps Coffee Sessions #83
Published: 28/02/2022
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.