Predictive analytics problems often involve large datasets that aren’t manageable on a single local client or even a server machine.
This webinar will use the public NYC taxi ride dataset to discuss how to store, manipulate and analyze such large data sets using Azure storage, HDInsight (Hadoop) and Azure ML. We will use the new "Learning with Counts" capability in Azure ML to train predictive models with large data sets and specifically use this to create a model to predict tips on NYC taxi rides.
To register for this free webinar, click here or on the image below.
ML Blog Team