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
13,798 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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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.
FF
Reviewed on Jul 8, 2023
Great course. Excellent presentation and very motivational
JP
Reviewed on Dec 7, 2025
This is one of the best courses I have ever taken that deals with practical problems for which AI can be applied. I can't say enough for how well the instructor presents the materials.
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