There are a ton of fields that use machine learning:
- Predictive text input ( Vector machine support )
- Computer vision
- AI game
- Robotic perception (classification and detection)
- Genomics
- Handwriting recognition (for example, the US Postal Service uses neural networks to sort mail)
- Credit Card Fraud Detection
- Localization ( Kalman filters, particle filters )
- Preference (Netflix, Amazon)
EDIT:
If you are looking for a list of all machine learning applications, I think you will find that the problem is unsolvable. Machine science as a field is largely focused on the task of using data to build a model that can map inputs to a desired set of outputs. The fields that use it are constantly growing, as people present new applications for machine learning. If this helps, usually machine learning is the most powerful when the mapping between inputs and outputs cannot be well described, the display space is too arrogant for processing in a reasonable way and / or should be adaptive over time.
If you're just looking for places to read in machine learning applications, you can take a look at the following:
Another good bet is to hit university websites that have strong AI, CS, Math or Robotics programs and see if they have course materials. I know, for example, that CMU, MIT and Stanford usually have a lot of course notes on the Internet, which often mention applications for various methods.
jasedit
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