Don't let your Azure Machine Learning Projects Fail with Monitoring

In this video, we'll dive into the world of Azure Machine Learning Monitoring and explore the best practices for ensuring the optimal performance of your models and ML projects. We'll start by discussing why monitoring is crucial for machine learning and how it can help you detect and prevent potential issues before they impact your business. Then, we'll walk you through step-by-step tips for setting up monitoring in Azure, including how to configure alerts and visualize performance metrics. ☎️ Do you need any career or technical help? Book a call with me: https://calendly.com/mg_cafe Monitoring Template Reference: https://github.com/Azure/azure-quickstart-templates/tree/master/quickstarts/microsoft.machinelearningservices/machine-learning-workspace-monitoring-dashboard 🔔 Subscribe for more cloud computing, data, and AI analytics videos by clicking on the subscribe button so you don't miss anything. ✅ You can contact me at: LinkedIn: https://www.linkedin.com/in/mohammad-ghodratigohar/ Email: [email protected] Twitter: https://twitter.com/MG_cafe01 #AzureMachineLearning #Monitoring #Alerts #MachineLearningMonitoring #MLOps #azureml