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Курс от DeepLearning.AI
courseraАнализ данных
AI and Climate Change
Курс от DeepLearning.AIО курсе
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.
Навыки, которые вы освоите
Model EvaluationArtificial IntelligenceClimate Change AdaptationForecastingFine-tuningConvolutional Neural NetworksEnvironmental MonitoringArtificial Neural NetworksClimate Change MitigationEnvironmental IssueSupervised LearningPredictive ModelingModel TrainingImage AnalysisComputer VisionData ProcessingMachine Learning MethodsApplied Machine Learning
Программа курса
4 модулей · 70 учебных материалов
01Introduction to AI and Climate Change15 материалов
Учитесь у экспертов
Robert Monarch
Преподаватель курса