Youtor
Databricks MLOps with 2 Lines of Code
>> YOUR LINK HERE: ___ http://youtube.com/watch?v=qSKeBThuvoE
This demo covers a full MLOPs pipeline. We'll show you how Databricks Lakehouse can be leverage to orchestrate and deploy model in production while ensuring governance, security and robustness. • Ingest data and save them as feature store • • Build ML model with Databricks AutoML • • Setup MLFlow hook to automatically test our models • • Create the model test job • • Automatically move model in production once the test are validated • • Periodically retrain our model to prevent from drift • • ☎️ Do you need any career or technical help? Book a call with me: https://calendly.com/mg_cafe • Databricks MLOps With GitHub Actions MLflow: • • Databricks MLOps With GitHub Actions ... • Trigger MLOps Pipelines using Databricks MLflow Webhooks: • • Trigger MLOps Pipelines using Databri... • Remote Centralized Feature Store in Databricks: • • Remote Centralized Feature Store in D... • Online Databricks Feature Store for Real-Time Inferencing: • • Online Databricks Feature Store for R... • AutoML Comparison in Databricks VS Azure Machine Learning: • • AutoML Comparison in Databricks VS Az... • • Subscribe for more cloud computing, data, and AI analytics videos by clicking on subscribe button so you don't miss anything. • ✅ You can contact me at: • LinkedIn: / mohammad-ghodratigohar • Email: [email protected] • Twitter: / mg_cafe01 • #Databricks #MLOps #MLflow #AzureMLOps #DevOpsForMachineLearning #MAchineLearningOperation #Azure #AI #DevOps #DatabricksMLOps #DatabricksMLflow #Databricks #MLOps #MLflowWebhooks #MLflow #Webhooks #Slack #CICD #AzureMLOps #AzureDevOps #DevOpsForMachineLearning #MAchineLearningOperation #Azure #AI #DevOps #DatabricksMLOps #DatabricksMLflow
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