Overview
This lab will walk you through the following:
- Deploy and configure a Video Recommendation application
- Setting up a Jupyter Notebook environment for the Amazon Personalize Service Preview
- Downloading and preparing training data, based on the Movie Lens data set
- Importing prepared data into Amazon Personalize
- Building an ML model based upon the Hierarchical Recurrent Neural Network algorithm (HRNN)
- Testing your model by deploying an Amazon Personalize campaign
- Adding your campaign to Video Recommendation application