Data Modeling
Data modeling is reducing the incredible amount of data available in datasources to things which can be managably interpreted and utilized. Some useful methods include:
- Neural Networks
- Self-Organizing Maps (see the Bird or Food Nutrition classification examples)
- Bayesian Networks
- Hidden Markov Models
Data modeling can cross-over in the area of image analysis. One example is using satellite imagery.
Case Examples
Here are some case examples:
Calculators
For convenience, these are some simple calculators:
- Mortgage pay-off to see how extra payments will shorten your mortgage.
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