Global Certificate in Conservation AI: Editing Frontiers
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โข Unit 1: Introduction to Conservation AI – Overview of AI technology and its applications in conservation.
โข Unit 2: Data Collection – Techniques for data collection, including satellite imagery, drones, and sensors.
โข Unit 3: Image Processing – Image processing techniques for feature extraction and object detection.
โข Unit 4: Machine Learning Algorithms – Overview of machine learning algorithms for conservation, including classification and regression techniques.
โข Unit 5: Deep Learning – Introduction to deep learning and its applications in conservation, including convolutional neural networks (CNNs) and recurrent neural networks (RNNs).
โข Unit 6: Natural Language Processing – Natural language processing techniques for conservation, including text analysis and sentiment analysis.
โข Unit 7: Data Ethics – Ethical considerations for data collection, storage, and analysis in conservation AI.
โข Unit 8: AI for Climate Change Mitigation – Applications of AI for climate change mitigation, including carbon capture and sequestration.
โข Unit 9: AI for Biodiversity Conservation – Applications of AI for biodiversity conservation, including species identification and habitat mapping.
โข Unit 10: Future of Conservation AI – Future trends and developments in conservation AI, including the integration of AI with other technologies.
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