Underfitting
Definition
Underfitting occurs when a statistical model or machine learning algorithm cannot …
Machine_learning
Leave-one-out cross-validation
Definition
Leave-one-out cross-validation (LOOCV) is a specific case of k-fold cross-validation …
Limited Memory AI
Definition
Limited Memory AI represents the second level of AI capability, where systems can learn …
Lazy learning
Definition
Lazy learners, such as k-Nearest Neighbors (k-NN), memorize the entire training dataset …
Dataset shift
Definition
Dataset shift occurs when the distribution of data used to train a machine learning model …
Data Augmentation
Definition
This method artificially expands the training dataset by creating modified versions of …
Concept Drift
Definition
Concept drift is a phenomenon in machine learning where the relationship between input …
Anomaly detection
Definition
Anomaly detection, also known as outlier detection, involves analyzing data to find …
Reinforcement
Definition
Reinforcement is a fundamental psychological and computational mechanism where an …
Reinforcement Learning
Definition
Reinforcement Learning (RL) is a branch of machine learning focused on how intelligent …