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

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...

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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...

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Introduction to Azure cognitive services in the Power Platform

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

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Introduction to Named Entity Recognition using Azure Language

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Data Science and AI in Africa: The Impact of Communities

Data Science and AI in Africa: The Impact of Communities

In recent times, Data Science and AI is growing drastically within African...

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AI in Tracking Air Quality

AI in Tracking Air Quality

The session will showcase a Nairobi-based project using AI to track air...

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