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

AI Builder in Power Platform

AI Builder in Power Platform

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

Shadrack Kiprotich Shadrack Kiprotich
Hybrid Model Approach for Real-Time Acoustic Anomaly Detection using Time Series

Hybrid Model Approach for Real-Time Acoustic Anomaly Detection using Time Series

Detecting anomalous behaviours help to find new knowledge of a given phe...

Sahan Dissanayaka Sahan Dissanayaka
Automating my Dog with Azure Cognitive Services

Automating my Dog with Azure Cognitive Services

Like many terrier owners, I have a problem. My dog is overworked from the...

Matt Eland Matt Eland
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
Generate out of the world images with Azure and Stable Diffusion

Generate out of the world images with Azure and Stable Diffusion

Have you always wanted to have a photo in space, swimming through Atlantis...

Felipe Flores Felipe Flores
David Lazaro David Lazaro
Foundations of causal inference and open source causal analysis tools

Foundations of causal inference and open source causal analysis tools

Many key data science tasks are about decision-making. They require unders...

Emre Kiciman Emre Kiciman