This lesson is a template for creating geohackweek lessons.
|09:00||Machine Learning with GIS application (a Computer Vision Problem)||What is machine learning? How can it be applied to the GIS landscape? What are some use cases?|
|09:15||Supervised Learning: Tree-based methods||
What is the difference between a model and a machine learning algorithm?
Which of the above is associated with learning?
What are some characteristics of tree-based learning methods?
|09:30||Supervised Learning: Support vector machines||
What is a tensor?
What might be some characteristics of vector-based learning methods?
|09:40||Land Classification with Supervised Machine Learning||How can I create a simple image pixel classifier using python?|
|10:05||Evaluating ML Models|
|10:15||Machine Learning Resources||What are some basic examples of libraries to explore?|