AI Glossary & Dictionary for “O”
Find the Flux+Form AI glossary & dictionary to help you make sense of common AI terms. Below you can find an AI Glossary & Dictionary for “O”:
Object Detection: Identifying objects within images or video and locating them with bounding boxes.
Objective Function: The function that a model seeks to minimize or maximize during training, such as loss functions.
Offline Learning: Training models on a fixed dataset rather than updating continuously; suitable for periodic retraining.
Omnichannel Marketing: Delivering a seamless customer experience across channels (web, mobile, store) by using AI to maintain context.
One‑Hot Encoding: Converting categorical variables into binary vectors to be processed by machine‑learning algorithms.
One‑Shot Learning: Learning a new concept from only one or very few examples.
Online Learning: Training models incrementally as new data arrives, enabling real‑time adaptation.
Optimization: The process of adjusting model parameters or campaign variables to achieve the best possible outcome.
Outlier Detection: Identifying unusual data points that may indicate errors, fraud or unique opportunities.
Output Layer: The final layer in a neural network that produces predictions or scores.
Overfitting: When a model learns noise and specific patterns in training data, reducing its ability to generalize to new data.
Oversampling: Increasing the number of instances in underrepresented classes to address class imbalance.
This concludes the AI Glossary & Dictionary for “O”.