AI and Machine Learning Terminology

Interpretability

• The ability for one to understand the results of an AI model.

• The speed at which an AI model processes data.

• The complexity of the algorithms used in AI models.

• The amount of data required to train an AI model.

Linear Regression

• A form of regression in which an outcome is a continuous variable, like a number.

• A method used for classification tasks in machine learning.

• A technique for reducing the dimensionality of data.

• A statistical method for analyzing categorical data.

GDPR (General Data Protection Regulation)

• A standard for handling data in the United States.

• The European Union (EU) standard for handling data that affects companies doing business in the EU.

• A guideline for social media marketing strategies.

• A regulation for environmental protection in the EU.

F1 Score

• The arithmetic mean of precision and recall.

• The geometric mean of precision and recall.

• The harmonic mean of precision and recall.

• The median of precision and recall.

Specificity

• The process of evaluating a model's ability to accurately identify negative instances or nonrelevant outcomes.

• The ability of a model to correctly identify positive instances.

• The overall accuracy of a model in predicting outcomes.

• The measure of a model's performance in terms of speed and efficiency.

Classification

• A model type in which a result is categorized, usually with one of two values, such as a yes or no value.

• A method for predicting continuous outcomes based on input variables.

• A technique used to group data into clusters without predefined labels.

• A process of transforming data into a visual format for easier interpretation.

Feature

• An input to an AI model used to generate output.

• A type of neural network architecture.

• A method for data preprocessing.

• A technique for model evaluation.

Attack Surface

• The parts of data or a system that are vulnerable to attack.

• The total number of users accessing a system.

• The amount of data processed by a system.

• The security measures implemented to protect a system.

Correlation

• A measure of connection between two points of data.

• A statistical method for predicting future values.

• A technique for measuring the average of a dataset.

• A method for organizing data into categories.

A/B Test

• A test comparing two different marketing strategies to see which is more effective.

• A test in which different app versions are shown to different people and usage patterns and responses are compared to each other.

• A method of testing the performance of a single app version over time.

• A test that evaluates user satisfaction through surveys and feedback.