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
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Gain insight into a topic and learn the fundamentals.
4.8
(114 reviews)
Beginner level
Recommended experience
14 hours to complete
3 weeks at 4 hours a week
Flexible schedule
Learn at your own pace
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Assessments
4 assignments
Taught in English
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This course is part of the AI for Good 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 (45 ratings)Offered by
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4.8
114 reviews
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Showing 3 of 114
AR
5
Reviewed on Jul 15, 2023
very informative. thank you so much DeepLearning.AI
SP
5
Reviewed on Oct 6, 2023
I love this course I learn how to increase renewable energy efficiency and how to save animals and many technical skills thank you so much ✨
AS
5
Reviewed on Aug 3, 2023
We need more courses like this which address the problems in our world and try to solve them using AI.
Recommended if you're interested in Data Science
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