Using Artificial Neural Networks to Improve Decision Trees

Theory and mathematics were bumping up against the limitations of technology, which wasn't quite at the level to put all that theory to the test. But more mathematicians found new ways to create artificial, near old networks capable of stuff like pattern recognition and learning. This approach is called homework and learning because it involves in kind of grading the network on it's then working with it to get better. Heck, a near old algorithm can learn to recognize and differentiate patterns even if we never explicitly told the system what was looking for.