Learning Objectives:
– Learn how to perform ad-hoc explorations on your raw Google Campaign Manager data – straight from S3
– Learn how to simplify cumbersome data feature engineering tasks with AWS Glue and EMR
Learn how to train and evaluate ML models on an elastic infrastructure that lets you experiment easily
Everyone in Digital Advertising is aware of the potential of machine learning, but getting started with ML techniques to generate real business insight can still be challenging. In this webinar, the AWS Digital Advertising team will present an end-to-end methodology for developing predictive algorithms to increase the probability of user interaction with advertising content. We will demonstrate an ML workflow based on the industry-standard Google DoubleClick Campaign Manager data format, including sample scripts and models. It will help you get started experimenting data to build your own ML workflow to further grow your digital advertising business.