| Hierarchical Clustering |
A method of grouping comparable data points together to form clusters arranged in a tree-like structure, either by merging smaller groups into larger ones or by breaking a large group into smaller ones. |
| Human-in-the-Loop (HITL) |
When humans interact with machines to train, refine, or make judgments in a system, resulting in greater accuracy and managing circumstances that require human judgment. |
| Hyperparameters |
Settings or configurations in a machine learning model that are specified before training, such as the learning rate or the number of layers in a neural network, which impact how the model learns and performs. |
