Presented By O’Reilly and Cloudera
Make Data Work
21–22 May 2018: Training
22–24 May 2018: Tutorials & Conference
London, UK
Michael Lanzetta

Michael Lanzetta
Principal Applied ML Scientist, Microsoft

Website

Michael Lanzetta is a principal SDE at Microsoft. In his more than 20-year career in the software industry, he’s worked in domains as varied as circuit design and drug discovery and in languages from JavaScript to F#, but his primary focus has always been scaled-out server-side work. Michael has a background in demand forecasting from Manugistics and Amazon and machine learning from Bing; he has spent the last few years building intelligent services on Azure using everything from Spark to TensorFlow and CNTK.

Sessions

14:55–15:35 Thursday, 24 May 2018
Detecting small-scale mines in Ghana
Data science and machine learning
 Location: Capital Suite 10/11 Level: Intermediate
Elena Terenzi (Microsoft), Michael Lanzetta (Microsoft)
Average rating: ****.
(4.00, 3 ratings)
Michael Lanzetta and Elena Terenzi offer an overview of a collaboration between Microsoft and the Royal Holloway University that applied deep learning to locate illegal small-scale mines in Ghana using satellite imagery, scaled training using Kubernetes, and investigated the mines' impact on surrounding populations and environment. Read more.