Expert Systems

Random Picks

• Overfitting: Overfitting is a common problem in machine learning where a model is trained too well on the training data and starts to memorize it instead of learning the underlying patterns. This results in a model that performs well on the training dat ... Read More >>
• K-Nearest Neighbor: K-Nearest Neighbor (KNN) is a non-parametric machine learning algorithm used for classification and regression. In KNN, the output is a class membership or a real value based on the k closest training examples in the feature space. KNN is a ... Read More >>
• Intervention Strategies: Intervention strategies refer to the methods and techniques used in data science and artificial intelligence to improve the performance of a model or system. These strategies are implemented when a model is not meeting the desired level of ... Read More >>