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What is Incremental Learning?

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Incremental Learning is an AI technique that allows models to continuously learn from new data without retraining from scratch. Instead of training the model on the entire dataset, Incremental Learning updates the model using newly available data. This approach is efficient for handling evolving data and adapting to changing environments.

Other Definitions

Multi-Agent Systems

Multi-Agent Systems are AI systems where multiple autonomous agents interact and collaborate to accomplish a goal. These agents can be software programs, robots, or…

Adversarial Machine Learning

Adversarial machine learning involves studying and defending AI models against attacks or adversarial examples designed to deceive the system. By understanding vulnerabilities and deploying…

Zeroth Law of Robotics

The Zeroth Law of Robotics is a fictional concept introduced by science fiction author Isaac Asimov. It suggests that a robot’s actions should not…

Bayesian Networks

Bayesian networks are Probabilistic Graphical Models that represent and evaluate uncertainty and conditional dependencies between variables. Industries such as healthcare and finance use Bayesian…
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