Author: Gopal Wunnava

In this walkthrough, you leverage H2O.ai, HAQM Athena, and RStudio to make predictions on whether a song might make it to the Top 10 Billboard charts. You explore the GLM, GBM, and deep learning modeling techniques using H2O’s rapid, distributed and easy-to-use open source parallel processing engine.

This blog post has been translated into Japanese. Data scientists are often concerned about managing the infrastructure behind big data platforms while running SQL on R. HAQM Athena is an interactive query service that works directly with data stored in S3 and makes it easy to analyze data using standard SQL without the need to […]

Gopal Wunnava is a Senior Consultant with AWS Professional Services The number of data sources that use location, such as smartphones and sensory devices used in IoT (Internet of things), is expanding rapidly. This explosion has increased demand for analyzing spatial data. Geospatial intelligence (GEOINT) allows you to analyze data that has geographical or spatial […]