You will learn how to:
(i) do enterprise-scale data preparation.
(ii) perform ETL operations without writing extensive code.
(iii) configure custom neural networks to apply to real-world problems such as predictive modeling, forecasting, and personalization.

We will start with a technical talk on data munging for deep learning and then we will walk through 2 real-world use-cases - Churn Reduction and Lead Scoring to demonstrate data ingestion from multiple sources, data preparation required for training custom neural networks, and then finally conclude with evaluating the trained deep learning models.