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DeepLearning.AI

AI and Climate Change

DeepLearning.AI via Coursera

Overview

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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.

Syllabus

  • Introduction to AI and Climate Change
  • Wind Power Forecasting
  • Monitoring Biodiversity
  • Monitoring Biodiversity Loss

Taught by

Robert Monarch

Reviews

4.9 rating at Coursera based on 87 ratings

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