Machine Learning: Reference

Key Points

Machine Learning with GIS application (a Computer Vision Problem)	geospatial machine learning, use cases annd background
Supervised Learning: Tree-based methods	supervised learning, flowcharts, decision trees, random forests, boosting, gradient boosting, tensor, SVM
Supervised Learning: Support vector machines	supervised learning, tensor, SVM
Land Classification with Supervised Machine Learning	run a support vector machine simple model on aerial and satellite imagery streaming from the cloud.
Evaluating ML Models
Deep Learning
Machine Learning Resources	frameworks, libraries for geospatial machine learning

FIXME: more reference material.