Databricks MLOps - Using MLFlow Tracking скачать в хорошем качестве

Databricks MLOps - Using MLFlow Tracking

Databricks MLOps - Using MLFlow Tracking 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're trainings and storing our Machine Learning Model while using MLFlow Tracking to log the progress. All these steps are automated by using an Azure DevOps pipeline. This DevOps for Machine Learning pipeline sets the basis for the deployment with the Azure Machine Learning Service in the upcoming video. Please take a look at the latest version of the MLOps with Databricks code: https://github.com/SaschaDittmann/MLO... If you haven't yet seen the first video in this series, I strongly recommend that you do so:    • Databricks MLOps - Preparing to use MLflow...   🔔 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 - Using MLFlow Tracking   📢 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 #MLFlow