Product Metrics
Quantitative measures used to track and assess the performance and success of a product, such as usage rates, customer satisfaction, and revenue.
Quantitative measures used to track and assess the performance and success of a product, such as usage rates, customer satisfaction, and revenue.
A statistical theory that states that the distribution of sample means approximates a normal distribution as the sample size becomes larger, regardless of the population's distribution.
A statistical method used to predict a binary outcome based on prior observations, modeling the probability of an event as a function of independent variables.
Artificial Intelligence of Things (AIoT) is the integration of AI with the Internet of Things (IoT) to create smart systems that can learn and adapt.
The use of natural language processing to identify and extract subjective information from text, determining the sentiment expressed.
The tendency for individuals to give positive responses or feedback out of politeness, regardless of their true feelings.
Model-View-Controller (MVC) is an architectural pattern that separates an application into three main logical components: the Model (data), the View (user interface), and the Controller (processes that handle input).
The series of actions or operations involved in the acquisition, interpretation, storage, and retrieval of information.
A cognitive bias where individuals overestimate the accuracy of their judgments, especially when they have a lot of information.