Artificial Intelligence By Example

Step 3 – implementing the solution in Python

In step 1, a problem was described in natural language to be able to talk to experts and understand what was expected. In step 2, an essential mathematical bridge was built between natural language and source coding. Step 3 is the software implementation phase.

When a problem comes up—and rest assured that one always does—it will be possible to go back over the mathematical bridge with the customer or company team, and even further back to the natural language process if necessary.

This method guarantees success for any project. The code in this chapter is in Python 3.6. It is a reinforcement learning program using the Q function with the following reward matrix:

import numpy as qlR = ql.matrix([ ...