When you’re trying to train the best machine learning model for your data automatically, there’s AutoML, or automated machine learning, and then there’s Google Cloud AutoML. Google Cloud AutoML is a cut above.
In the past I’ve reviewed H2O Driverless AI, Amazon SageMaker, and Azure Machine Learning AutoML. Driverless AI automatically performs feature engineering and hyperparameter tuning, and claims to perform as well as Kaggle masters. Amazon SageMaker supports hyperparameter optimization. Azure Machine Learning AutoML automatically sweeps through features, algorithms, and hyperparameters for basic machine learning algorithms; a separate Azure Machine Learning hyperparameter tuning facility allows you to sweep specific hyperparameters for an existing experiment.