Responsible SIML
21
Quantifying uncertainty
MOSAIKS Training Manual
Welcome
Introduction
1
Compute setup
2
What is MOSAIKS?
3
Access MOSAIKS
4
Try MOSAIKS
Label data
5
What labels work?
6
Survey data
7
Preparing labels
8
Label data demo
Satellite imagery
9
Choosing imagery
10
Processing imagery
11
Imagery demo
Satellite features
12
Understanding features
13
API features
14
Computing features
15
Featurization demo
Task modeling
16
Build, evaluate, deploy
17
Going over space
18
Going over time
19
Build a model
Responsible SIML
20
Bias, equity, & ethics
21
Quantifying uncertainty
22
Transparency (demo)
References
Responsible SIML
21
Quantifying uncertainty
21
Quantifying uncertainty
This chapter is in early draft form and may be incomplete.
Looking forward
The next chapter will
20
Bias, equity, & ethics
22
Transparency (demo)