MLOps.community

Un podcast de Demetrios

430 Épisodes

Managing Machine Learning Projects // Simon Thompson // MLOps Coffee Sessions #128
Publié: 19/10/2022
Reliable ML // Niall Murphy & Todd Underwood // Coffee Sessions #127
Publié: 07/10/2022
ML Unicorn Start-up Investor Tells-IT-All // George Mathew // MLOps Coffee Sessions #126
Publié: 04/10/2022
Databricks Model Serving V2 // Rafael Pierre // Coffee Sessions #125
Publié: 30/09/2022
Monitoring Unstructured Data // Aparna Dhinakaran & Jason Lopatecki // Lightning Sessions #2
Publié: 27/09/2022
Trustworthy Machine Learning // Kush Varshney // Coffee Sessions #124
Publié: 21/09/2022
RECOMMENDER SYSTEM: Why They Update Models 100 Times a Day // Gleb Abroskin // MLOps Coffee Sessions #123
Publié: 16/09/2022
Scaling Similarity Learning at Digits // Hannes Hapke // Coffee Sessions #122
Publié: 09/09/2022
Bringing DevOps Agility to ML// Luis Ceze // Coffee Sessions #121
Publié: 06/09/2022
Feathr: LinkedIn's High-performance Feature Store // David Stein // Coffee Sessions #120
Publié: 02/09/2022
MLOps at DoorDash // Hien Luu and DoorDash Leads // Coffee Sessions #119
Publié: 30/08/2022
ML Platforms, Where to Start? // Olalekan Elesin // Coffee Sessions #118
Publié: 26/08/2022
Data Engineering for ML // Chad Sanderson // Coffee Sessions #117
Publié: 19/08/2022
Scaling Machine Learning with Data Mesh // Shawn Kyzer // Coffee Sessions #116
Publié: 17/08/2022
How Hera is an Enabler of MLOps Integrations // Flaviu Vadan // Coffee Sessions #115
Publié: 14/08/2022
Product Enrichment and Recommender Systems // Marc Lindner and Amr Mashlah // Coffee Sessions #114
Publié: 10/08/2022
Building Better Data Teams // Leanne Fitzpatrick // Coffee Sessions #113
Publié: 06/08/2022
MLX: Opinionated ML Pipelines in MLflow // Xiangrui Meng // Coffee Sessions #112
Publié: 03/08/2022
More than a Cache: Turning Redis into a Composable, ML Data Platform // Samuel Partee // Coffee Sessions #111
Publié: 30/07/2022
Just Fetch the Data and then... // David Bayliss // Coffee Sessions #110
Publié: 29/07/2022

12 / 22

Relaxed Conversations around getting AI into production, whatever shape that may come in (agentic, traditional ML, LLMs, Vibes, etc)

Visit the podcast's native language site

430 Épisodes

Managing Machine Learning Projects // Simon Thompson // MLOps Coffee Sessions #128

Reliable ML // Niall Murphy & Todd Underwood // Coffee Sessions #127

ML Unicorn Start-up Investor Tells-IT-All // George Mathew // MLOps Coffee Sessions #126

Databricks Model Serving V2 // Rafael Pierre // Coffee Sessions #125

Monitoring Unstructured Data // Aparna Dhinakaran & Jason Lopatecki // Lightning Sessions #2

Trustworthy Machine Learning // Kush Varshney // Coffee Sessions #124

RECOMMENDER SYSTEM: Why They Update Models 100 Times a Day // Gleb Abroskin // MLOps Coffee Sessions #123

Scaling Similarity Learning at Digits // Hannes Hapke // Coffee Sessions #122

Bringing DevOps Agility to ML// Luis Ceze // Coffee Sessions #121

Feathr: LinkedIn's High-performance Feature Store // David Stein // Coffee Sessions #120

MLOps at DoorDash // Hien Luu and DoorDash Leads // Coffee Sessions #119

ML Platforms, Where to Start? // Olalekan Elesin // Coffee Sessions #118

Data Engineering for ML // Chad Sanderson // Coffee Sessions #117

Scaling Machine Learning with Data Mesh // Shawn Kyzer // Coffee Sessions #116

How Hera is an Enabler of MLOps Integrations // Flaviu Vadan // Coffee Sessions #115

Product Enrichment and Recommender Systems // Marc Lindner and Amr Mashlah // Coffee Sessions #114

Building Better Data Teams // Leanne Fitzpatrick // Coffee Sessions #113

MLX: Opinionated ML Pipelines in MLflow // Xiangrui Meng // Coffee Sessions #112

More than a Cache: Turning Redis into a Composable, ML Data Platform // Samuel Partee // Coffee Sessions #111

Just Fetch the Data and then... // David Bayliss // Coffee Sessions #110