Disaster Risk Monitoring Using Satellite Imagery

Learn how to build and deploy a deep learning model to automate the detection of flood events using satellite imagery. This workflow can be applied to lower the cost, improve the efficiency, and significantly enhance the effectiveness of various natural disaster management use cases.

Kevin McFall

Kevin McFall

Learn image segmentation from a Master Instructor from NVIDIA's Deep Learning Institute

Other sessions from: Global AI Student Conference December 2022

Machine Learning at Green In Tech

Machine Learning at Green In Tech

Let's learn to develop sustainable solutions with machine learning to...

Nicolas Chavez Nicolas Chavez
Introduction to Named Entity Recognition using Azure Language

Introduction to Named Entity Recognition using Azure Language

Have you ever wondered how you can extract entities from unstructured text...

Konstantinos Kyriakos Sitistas Konstantinos Kyriakos Sitistas
AI Builder in Power Platform

AI Builder in Power Platform

Artificial Intelligence builder is one of the capabilities of Microsoft...

Shadrack Kiprotich Shadrack Kiprotich
Smart Parking in Modern Cities: Challenges & Solutions

Smart Parking in Modern Cities: Challenges & Solutions

The presentation will address ML-related challenges of emerging intelligent...

Vadim Porvatov Vadim Porvatov
Anastasia Martynova Anastasia Martynova
Towards Responsible AI

Towards Responsible AI

When we talk about AI, we usually mean a machine learning model that is...

Luis Beltran Luis Beltran