Data-centric Explainable Machine Learning for Land Cover Mapping
Leverage the power of data-centric and explainable machine learning for geospatial data analysis in R or python. No previous programming experience is required. You learn by solving problems. Some courses have videos to help you retain information better.
The data-centric explainable machine learning (ML) approach focuses on improving the quality of training data and explaining how the models work. This course provides guidelines to implement data-centric explainable ML using open-source software.
Benefits
- Access to All Basic & Intermediate Course Tutorials
- Access to Free Ebooks
- Access to Paid Ebooks
- Access to Additional Scripts and Tips
- Access to Video Tutorials
- Unlimited support for Data Analysis
- Access to Writing Lab Courses
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