Introduction to Azure AutoML

AutoML is a powerful solution that enables not only data scientists but also citizen data scientists to build machine learning models supporting a variety of use cases. AutoML currently supports classification, regression, time-series forecasting, and computer vision in preview. Classification involves a response variable that identifies a category. The input training dataset will be leveraged to build a model to predict which category a new sample will fall into. Leveraging the Titanic dataset, we can leverage the classification model to predict whether a passenger will survive on the Titanic. In addition to supporting classification model creation, AutoML is also able to generate a regression model. A regression model will provide a continuous value as the output of the model. An example of a regression model would be to predict gas prices or taxi fares. AutoML can also predict values based on time with time-series forecasting. Not only this but AutoML...