Introduction to AI and Climate Change-Course Introduction
Welcome to AI and Climate Change
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What is Climate Change?
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Introduction to Jupyter Notebook Labs
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Global Temperature Change
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(Optional) Downloading your Notebook, Downloading your Workspace and Refreshing your Workspace
Impacts of Climate Change
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AI and Climate Change
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Caleb Robinson - Siting Renewable Energy Sources
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Introduction to AI and Climate Change-Summary
Week 1 Summary
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Acknowledgements
Introduction to AI and Climate Change-Resources
Week 1 Resources
Introduction to AI and Climate Change-Lecture Notes (Optional)
Lecture Notes W1
Wind Power Forecasting-Exploring Wind Power
Introduction to Wind Power
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Jack Kelly - Predicting Solar Energy with Machine Learning
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AI for Good Framework
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Wind Power - Explore Phase
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Wind Power - Explore the Data
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Wind Power - Visualize the Data
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Wind Power: Explore Phase Checkpoint
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Optional: Machine Learning Can Boost the Value of Wind Energy
Wind Power Forecasting-Designing and Implementing Wind Power Forecasting
Wind Power - Establish a Baseline Model
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Wind Power - Improve the Baseline Model
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Wind Power- Train a Neural Network Model
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What is a Sequence Model?
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Wind Power - Establish Baseline Forecasts
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Wind Power - Improve Performance with Sequence Models
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Wind power - Include Wind Speed Forecasts
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Wind Power - Design Phase Checkpoint
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Wind Power - Project Wrap Up
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Lester Mackey - Climate Modeling and Prediction
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Wind Power Forecasting-Summary
Week 2 Summary
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Wind Power Forecasting-Resources
Week 2 Resources
Wind Power Forecasting-Lecture Notes (Optional)
Lecture Notes W2
Monitoring Biodiversity-Introduction
Welcome to Week 3
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Climate Change and Biodiversity
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Monitoring Biodiversity
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Monitoring Biodiversity-Classifying Animals in South Africa
Snapshot Karoo
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Biodiversity - Explore the Data
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Biodiversity - Visualize the Data
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Sara Beery - Why Monitoring Biodiversity
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Biodiversity - Explore Phase Checkpoint
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Monitoring Biodiversity-Summary
Week 3 Summary
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Monitoring Biodiversity-Resources
Week 3 Resources
Monitoring Biodiversity-Lecture Notes (Optional)
Lecture Notes W3
Monitoring Biodiversity Loss-Convolutional Neural Networks
Welcome to Week 4
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Convolutional Neural Networks and Pretraining
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Biodiversity - MegaDetector
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Transfer Learning and Fine-Tuning
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Biodiversity - Transfer Learning
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Biodiversity - Design Phase Checkpoint
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Monitoring Biodiversity Loss-Implementing Model for Detecting and Classifying Animals
Biodiversity - Implement Phase
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Biodiversity - Project Wrap Up
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Priya Donti - Tackling Climate Change with Machine Learning
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Monitoring Biodiversity Loss-End of access to Lab Notebooks
[IMPORTANT] Reminder about end of access to Lab Notebooks
Monitoring Biodiversity Loss-Summary
Week 4 and Course Summary
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Monitoring Biodiversity Loss-Resources
Week 4 Resources
Monitoring Biodiversity Loss-Lecture Notes (Optional)
Lecture Notes W4