What is Instance-Based Learning?

Skill Level:

Instance-Based Learning is an AI approach where models make predictions based on similarity to previously seen examples. Instead of generalising from a predefined set of rules, Instance-Based Learning examines specific instances and their characteristics. This approach is effective in tasks such as pattern recognition and recommendation systems.

Other Definitions

The Internet of Things refers to a network of interconnected devices, sensors, and objects that can collect and exchange data. IoT Devices enable the…
Hyperparameters are parameters that are set before the training of an AI model. They control the behaviour and performance of the model, such as…
Cybersecurity in Artificial Intelligence addresses the protection of AI systems from security threats and vulnerabilities. It involves implementing strategies and technologies to safeguard AI…
OpenAI is a research organisation dedicated to advancing AI in a safe and beneficial way. They develop cutting-edge AI technology while prioritising ethical considerations…