Alpha-beta pruning is an optimization technique for the minimax algorithm described in the next section. The need for pruning arose from the fact that in some cases decision trees can become very complex. In this tree, some useless branches add complexity to the model.
To avoid this, alpha-beta pruning works so that the computer doesn't have to go through the entire tree. These unusual knots slow down the algorithm. So removing these nodes makes the algorithm faster. [url]https://www.btreesystems.com/artificial-intelligence-training-in-chennai/ [/url]