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
12,535 already enrolled
Skills you'll gain
- Data Processing
- Model Training
- Climate Change Mitigation
- Computer Vision
- Artificial Intelligence
- Forecasting
- Machine Learning Methods
- Predictive Modeling
- Image Analysis
- Fine-tuning
- Environmental Monitoring
- Model Evaluation
- Artificial Neural Networks
- Environmental Issue
- Supervised Learning
- Convolutional Neural Networks
- Climate Change Adaptation
- Applied Machine Learning
Details to know
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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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AM
4.0
Reviewed on Sep 13, 2023
Great eye opener course to help you understand more about AI and how it affects our daily lives.
AS
5.0
Reviewed on Jun 14, 2024
This course is designed very well that any person who wants pursue knowledge about How AI and Machine Learning work.
SP
5.0
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 ✨
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