Building and deploying a model using AutoML in Azure ML

Model selection and tuning hyperparameters can be a tedious task. Setting up multiple runs, hyperparameter sweeps, and algorithms is usually not a Data Scientist’s favorite part of the job. AutoML is a tool in Azure ML that does all of this for you. There are a variety of algorithms, hyperparameters, and evaluation metrics available that are automatically run based on your defined criteria. In this webinar, we will look at how we can use AutoML for training machine learning models. We will also look at the evaluation metrics and see how we can pick the best model from an AutoML run.