Would you like to learn how Azure ML automated ML can help you save time on training your machine learning models? then join my session to learn how Azure ML automated ML is a powerful tool that enables data scientists, analysts, and developers to build high-quality machine learning models with minimal effort and time. It automates the tedious and iterative tasks of machine learning model development, such as data preprocessing, feature engineering, algorithm selection, hyperparameter tuning, and model evaluation. It also supports a variety of machine learning tasks, such as classification, regression, forecasting, computer vision, and natural language processing.

In this presentation, we will demonstrate how to use Azure ML automated ML to create and deploy machine learning models for various scenarios, using both the no-code UI and the Python SDK. We will also discuss the benefits and challenges of using automated ML, as well as the best practices and tips for achieving optimal results. Finally, we will show how to interpret and explain the models generated by automated ML, using the built-in responsible machine learning solutions.