Databricks MLOps - Preparing to use MLflow on Azure скачать в хорошем качестве

Databricks MLOps - Preparing to use MLflow on Azure

Databricks MLOps - Preparing to use MLflow on Azure In this little video series I'll get to the bottom of how you can control the Azure Databricks platform with your DevOps toolbox. In this part we first set up an Azure Databricks workspace, connect it to our Azure DevOps environment, sync our notebooks with the source code management and create a cluster through a DevOps pipeline. This DevOps for Machine Learning pipeline sets the basis for the later use of Azure Databricks MLflow, and the deployment with the Azure Machine Learning Service. Please take a look at the latest version of the MLOps with Databricks code: https://github.com/SaschaDittmann/MLO... 🔔 Subscribe for more free data analytics videos: https://www.youtube.com/saschadittman... And don't forget to click the bell so you don't miss anything. 💪 Share this video with a YouTuber friend:    • Databricks MLOps - Preparing to use MLflow...   📢 If you enjoyed this video help others enjoy it by adding captions in your native language - https://www.youtube.com/timedtext_vid... Watch my most recent upload: http://bit.ly/2OihAlj    • Uploads from Sascha Dittmann   🚀 Tools and services used in this video: Azure Databricks https://azure.microsoft.com/en-us/ser... Azure DevOps Services https://azure.microsoft.com/en-us/ser... ✅ Recommended playlists: DevOps for Machine Learning (MLOps) on Azure    • DevOps for Machine Learning (MLOps) on Azure   ✅ For business inquiries contact me at CloudBlog@gmx.de ✅ Let's connect: Watch me Live on Twitch:   / saschadittmann​   Join our Discord:   / discord   Twitter:   / saschadittmann   Facebook:   / datadrivendev   Instagram:   / saschadittmann   LinkedIn:   / saschadittmann   GitHub: https://github.com/SaschaDittmann DISCLAIMER: This video and description contains affiliate links, which means that if you click on one of the product links, I’ll receive a small commission. This helps support my channel and allows me to continue making awesome videos like this. Thank you for the support! #Databricks #MLOps #DevOps