#12 Streamlining your Machine Learning projects with Azure Machine Learning
Having a data scientist working out a complex machine learning model is one thing. Making that machine learning model part of a real solution that is ready for the future and that will evolve together with the business and the data, is another thing.
In this session, you will see how Azure Machine Learning can help in streamlining the team collaboration for Machine Learning. From the experimentation phase, the tuning of models, towards deployment and telemetry (and retraining) of the models.
This session will not dive in the complex details of AI/ML, but focus more on the actual workflow, which is called MLOps. You can expect a lot of demonstrations and demos.
In this session, you will see how Azure Machine Learning can help in streamlining the team collaboration for Machine Learning. From the experimentation phase, the tuning of models, towards deployment and telemetry (and retraining) of the models.
This session will not dive in the complex details of AI/ML, but focus more on the actual workflow, which is called MLOps. You can expect a lot of demonstrations and demos.
