Demo: Progress Tracking of Machine Learning tasks with MySQL HeatWave AutoML

In this video you will see how to track progress of a ML task in HeatWave AutoML. This is useful for tasks such as ML_train which can take minutes to hours to finish. HeatWave AutoML automates the machine learning lifecycle, including algorithm selection, intelligent data sampling for model training, feature selection, and hyperparameter tuning—saving customers significant time and effort. Data does not leave the database, and customers do not have to install, configure, and manage multiple services, saving time, money, resources, and compliance overheads.