Develop and Deploy ML Projects with Metaflow and Seldon

AWS re:Invent 2021 - ML with Metaflow and Kubernetes: Prototype to production on Amazon EKSПодробнее

Full-Stack Machine Learning with Metaflow on CoRiseПодробнее

Seldon Deploy: Machine Learning Model Production on KubernetesПодробнее

Deploying and Managing Machine Learning Models at Scale: A Hands-On Workshop with SeldonПодробнее

Deploy Models at Scale with SeldonПодробнее

useR! 2020: End-to-end machine learning with Metaflow (S. Goyal, B. Galvin, J. Ge), tutorialПодробнее

Manage the ML Lifecycle with SeldonПодробнее

Introduction to Amazon SageMakerПодробнее

Seamless End to End Production Machine Learning with Seldon and MLflow - Adrián GonzálezПодробнее

Serving ML Models at Scale with Seldon and Kubeflow - Clive Cox, Seldon.ioПодробнее

Powering Enterprise Machine Learning with MetaflowПодробнее

Seamless MLOps with Seldon and Mlflow | Singularity Tech Day 2020Подробнее

Seldon Deploy and KFServing: Serverless Deployment of Machine Learning ModelsПодробнее

Why is flexibility essential when deploying ML models?Подробнее

Supporting The Full Lifecycle Of Machine Learning Projects With MetaflowПодробнее

Tips for Deploying ML ModelsПодробнее

Workshop Sessions: Advanced Model Deployment with Seldon DeployПодробнее