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

iShare Donation Platform

iShare Donation Platform

The best way is to adopt the idea of the sharing economy and decentralize ...

Jerry Lee Jerry Lee
Andy Lum Andy Lum
Hok Lai Liu Hok Lai Liu
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
AI Builder in Power Platform

AI Builder in Power Platform

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

Shadrack Kiprotich Shadrack Kiprotich
Breast Cancer prediction using automated ML

Breast Cancer prediction using automated ML

A mini-project related to « Breast Cancer prediction using AutomatedML »,...

Hadil Ben Amor Hadil Ben Amor
The 4 Types of Machine Learning

The 4 Types of Machine Learning

AI and Machine Learning are all the rage, but did you know that there are a...

Frank La Vigne Frank La Vigne
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