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AI and Climate Change
Coursera
Course
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AI and Climate Change

DeepLearning.AI

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.

Unknown4 weeksEnglish11,764 enrolled

About this Course

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.

What You'll Learn

  • In this course, you’ll start with a review of the mechanisms behind anthropogenic climate change
  • Its impact on global temperatures
  • Weather patterns

Prerequisites

  • No prior experience in AI or coding is necessary. This program is for learners with all types of backgrounds

Instructors

R

Robert Monarch

Topics

Machine Learning
Data Science
Design and Product
Computer Science
Image Analysis
Environmental Monitoring
Computer Vision
Environmental Science
Predictive Modeling
Data Preprocessing

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

علوم البيئة
المعالجة المسبقة للبيانات
التنبؤ بالسلاسل الزمنية
الرؤية الحاسوبية
التعلم الآلي التطبيقي
Environmental Monitoring
Computer Vision
Environmental Science
Predictive Modeling
Data Preprocessing

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