Machine Learning Working Group: Supercharging Machine Learning with Cloud Computing

Supercharging Machine Learning with Cloud Computing

Case study of how using secure cloud tools in a DoD environment enabled 10X data processing & prediction speeds. Starting with 1 Billion+ data points stored on the cloud, an automated script trains ML models & makes predictions, on a predetermined schedule (unattended). Overview of leading cloud tools and approaches to maximize efficiency in your domain.

Speaker:
Conner Lawston holds a BS in Engineering & MS in Data Science. He currently works on the DoD’s ADVANA project, creating ML models using Python, SQL, & AWS. He previously spent 3 years Cost Estimating DoD Space Systems (LA AFB) and has taught Power BI classes at various USAF bases across the country.