In this course, you’ll start with a review of the mechanisms behind anthropogenic climate change and its impact on global temperatures and weather patterns. You will work through two case studies, one using time series analysis for wind power forecasting and another using computer vision for biodiversity monitoring. Both case studies are examples of where AI techniques can be part of the solution when it comes to the mitigation of and adaptation to climate change.
AI and Climate Change
AI and Climate Change
This course is part of AI for Good Specialization
Instructor: Robert Monarch
7,673 already enrolled
Gain insight into a topic and learn the fundamentals.
4.8
(92 reviews)
Beginner level
Recommended experience
14 hours to complete
3 weeks at 4 hours a week
Flexible schedule
Learn at your own pace
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
4 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 4 modules in this course
What's included
8 videos5 readings1 assignment1 ungraded lab
What's included
18 videos3 readings1 assignment3 ungraded labs
What's included
9 videos2 readings1 assignment1 ungraded lab
What's included
10 videos3 readings1 assignment3 ungraded labs
Instructor
Instructor ratings
4.9 (39 ratings)Offered by
Recommended if you're interested in Machine Learning
Fred Hutchinson Cancer Center
University of California San Diego
École Polytechnique
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