In this course, you will be introduced to the four phases of the disaster management cycle; mitigation, preparation, response, and recovery. You’ll work through two case studies in this course. In the first, you will use computer vision to analyze satellite imagery from Hurricane Harvey in 2017 to identify damage in affected areas. In the second, you will use natural language processing techniques to explore trends in aid requests in the aftermath of the 2010 earthquake in Haiti.
AI and Disaster Management
AI and Disaster Management
This course is part of AI for Good Specialization
Instructor: Robert Monarch
13,799 already enrolled
Gain insight into a topic and learn the fundamentals.
319 reviews
Beginner level
Recommended experience
Flexible schedule
1 week at 10 hours a week
Learn at your own pace
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Assessments
3 assignments
Taught in English
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This course is part of the AI for Good Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 3 modules in this course
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(79 ratings)Offered by
Explore more from Machine Learning
University of Pittsburgh
Erasmus University Rotterdam
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Showing 3 of 319
MN
Reviewed on Dec 8, 2024
Great lectures, very insighful; I enjoyed the labs, and the structured framework for approaching the projects. The whole specialization is worthwhile!
RK
Reviewed on Nov 15, 2023
Practical insight into real-world application of tokenization and ML methods. And also a real examples of application of do-no-harm principles.
CP
Reviewed on Oct 23, 2023
Very informative walk-through some of the basics of Disaster Management and some of the AI techniques that are used. Labs are set up well to get an initial feel for applications. Great presentation.
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