MLOps.community
A podcast by Demetrios
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Categories:
401 Episodes
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Feathr: LinkedIn's High-performance Feature Store // David Stein // Coffee Sessions #120
Published: 02/09/2022 -
MLOps at DoorDash // Hien Luu and DoorDash Leads // Coffee Sessions #119
Published: 30/08/2022 -
ML Platforms, Where to Start? // Olalekan Elesin // Coffee Sessions #118
Published: 26/08/2022 -
Data Engineering for ML // Chad Sanderson // Coffee Sessions #117
Published: 19/08/2022 -
Scaling Machine Learning with Data Mesh // Shawn Kyzer // Coffee Sessions #116
Published: 17/08/2022 -
How Hera is an Enabler of MLOps Integrations // Flaviu Vadan // Coffee Sessions #115
Published: 14/08/2022 -
Product Enrichment and Recommender Systems // Marc Lindner and Amr Mashlah // Coffee Sessions #114
Published: 10/08/2022 -
Building Better Data Teams // Leanne Fitzpatrick // Coffee Sessions #113
Published: 06/08/2022 -
MLX: Opinionated ML Pipelines in MLflow // Xiangrui Meng // Coffee Sessions #112
Published: 03/08/2022 -
More than a Cache: Turning Redis into a Composable, ML Data Platform // Samuel Partee // Coffee Sessions #111
Published: 30/07/2022 -
Just Fetch the Data and then... // David Bayliss // Coffee Sessions #110
Published: 29/07/2022 -
Why You Need More Than Airflow // Ketan Umare // Coffee Sessions #109
Published: 23/07/2022 -
ML Flow vs Kubeflow 2022 // Byron Allen // Coffee Sessions #108
Published: 19/07/2022 -
Why and When to Use Kubeflow for MLOps // Ryan Russon // Coffee Sessions #107
Published: 11/07/2022 -
Building a Culture of Experimentation to Speed Up Data-Driven Value // Delina Ivanova // MLOps Coffee Sessions #106
Published: 05/07/2022 -
Cleanlab: Labeled Datasets that Correct Themselves Automatically // Curtis Northcutt // MLOps Coffee Sessions #105
Published: 01/07/2022 -
MLOps + BI? // Maxime Beauchemin // MLOps Coffee Sessions #104
Published: 24/06/2022 -
Making MLFlow // Lead MLFlow Maintainer Corey Zumar // MLOps Coffee Sessions #103
Published: 17/06/2022 -
Fixing Your ML Data Blind Spots // Yash Sheth // MLOps Coffee Sessions #102
Published: 10/06/2022 -
Declarative Machine Learning Systems: Big Tech Level ML Without a Big Tech Team // Piero Molino // MLOps Coffee Sessions #101
Published: 03/06/2022
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.