Data Glossary Lab

An AI Agent is an autonomous software system designed to perceive an environment, process data inputs, make decisions, and execute actions to achieve predefined goals without requiring continuous human supervision

A/B Testing, also known as split testing, is a randomized experimental process where two or more versions of a single variable are shown to different segments of users simultaneously to determine which version produces a better outcome based on a predefined metric.

The alternative hypothesis is a statement in statistical testing that proposes a significant relationship, effect, or difference exists between two or more variables in a population.

Apache Spark is an open-source, multifunctional parallel processing framework designed for analyzing and modeling Big Data. Unlike traditional processing tools that handle data on a single machine, Spark enables data and computations to be spread over clusters with multiple nodes. It is the industry standard for high-speed data processing because it primarily operates in-memory, allowing it to process massive datasets up to 100 times faster than older disk-based systems like MapReduce. Spark represents the "Heavy Lifting" capability of an organization, providing the infrastructure necessary to execute complex machine learning and real-time analytics at a global scale.

An algorithm is a sequence of repeatable steps, often expressed mathematically, written by a human and executed by a computer, to solve a certain type of data science problem. In machine learning, algorithms take input data and hyperparameters, learn patterns, and produce predictions.

API stands for Application Programming Interface, a software intermediary that ensures a connection between applications or computers, such as embedding Google Maps in a Rideshare application.

Apache Airflow is a platform to programmatically author, schedule, and monitor workflows; it is not simply a task scheduler. While Cron allows you to run scripts at specific times, Airflow allows you to define complex dependencies between them. It transforms isolated scripts and fragile batch jobs into a resilient, code-based ecosystem.

The Activation Function is a mathematical rule that determines the output of a neuron, taking as input the weighted sum of the neuron's inputs. It decides if and how the neuron should influence the network's output.

An accuracy score is an evaluation metric used to estimate a machine learning model’s performance, showing the ratio of the number of correct predictions to the total number of predictions.