This lesson is a template for creating waterhackweek lessons.
It is based on the lesson template used in Data Carpentry and Software Carpentry workshops and 2018 Geohackweek.
| 09:00 | What is machine learning? | What is machine learning? How is it different from traditional algorithms? |
| 09:05 | Major categories of machine learning |
What are the major categories of machine learning?
What are some example applications for each? |
| 09:10 | Example algorithms of machine learning |
What are some widely used machine learning algorithms?
What category do they belong to? |
| 09:20 | Machine learning is NOT magical! - Data exploration, model selection and evaluation |
What are good practices of building machine learning models?
How to objectively evaluate model performance? What are some tools for model diagnosis? |
| 09:30 | Machine Learning Resources |
What are some machine learning applications in water resources research?
What are some basic examples of libraries to explore? |
| 09:35 | Finish |