Automated Machine Learning with Low Code - AMA

 

Determining meaningful answers from large, complex datasets is a difficult and lengthy problem. Even with the support of validated machine learning algorithms, there is still a lot of coding obstacles to understand before using them.

 

In this session, you will learn about the functionality of Azure Machine Learning’s Automated ML service, which not only helps you build machine learning models efficiently using one algorithm, but also runs through and compares dozens of different algorithm setups, scores them, and helps you gain insight from multiple perspectives. All whilst offering low-code/no-code options to get started

 

It allows data scientists, analysts, and developers to build ML models with high scale, efficiency, and productivity all while sustaining model quality.