What is Azure Machine Learning service and how data scientists use it

An easier way for data scientists to build reproducible experiments with machine learning pipelines and communicate operational dependencies to their engineering counterparts as part of a new MLOps approach you deploy to the Cloud and the Edge at scale.

Chris Lauren the Principal Program Manager for the Azure Machine Learning Platform goes over the new Azure Machine Learning service. Chris shows you what capabilities data scientists can get across the machine learning lifecycle within a familiar notebook experience.

And you'll see how you can use the newly introduced Automated Machine Learning capabilities in Azure ML to build machine learning models in a fraction of the time.

[tarvinder]

This was actually one of the best intro videos I have seen from MS where they only talked about key things and which are to the point!

[johng]

Thanks in a million! Very well explained. This is the nth time that I am watching this again. Great content. Awesome. I couldn't find this explanation--simply put anywhere else. “Great teachers are hard to find”. Grade: A++ 💥

[starmole]

This looks Amazing. Really great job MS, keep it up.

[anaruan]

Great explanation a lot of information in a very simple and sort way. Azure Machine easy to use even for someone that does not have knowledge on working with other programs.

[jobihara]

Great job, great video and presentation. I'm an aspiring data scientist, and i learnt so much from this. Thanks

[chiragddit]

Where can i get the repository which contains devops pipeline and python script for Azure AutoML