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

Towards Responsible AI

Towards Responsible AI

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

Luis Beltran Luis Beltran
Dive into AI and create your 1st bot

Dive into AI and create your 1st bot

In this session, we will walk you through the basic concepts of AI. Get...

Tina Popli Tina Popli
Aditi Sharma Aditi Sharma
Introduction to Azure cognitive services in the Power Platform

Introduction to Azure cognitive services in the Power Platform

I will talk in depth about azure cognitive services in the power platform a...

Panshak Koproda Panshak Koproda
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
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
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