incremental-learning

Vocabulary Word

Definition

'Incremental-learning' is about building knowledge little by little. It's like mastering a computer program one feature at a time, instead of trying to understand it all at once.

Examples in Different Contexts

In machine learning, 'incremental learning' refers to algorithms that learn from new data without forgetting previous information. A data scientist might explain, 'Incremental learning is crucial for developing AI systems that can adapt to new situations without being retrained from scratch.'

Practice Scenarios

Tech

Scenario:

Our new AI model is effective, but it's having trouble adapting to new data. The model needs some sort of method to accommodate fresh data points without compromising the initial understanding.

Response:

We should apply an incremental learning method to ensure the AI model learns and adapts without erasing its foundational knowledge.

Business

Scenario:

The training program overall is effective, but employees are struggling with the module on data privacy. We might need to simplify the content in smaller parts.

Response:

Agreed, maybe an incremental learning approach would work where we introduce a data privacy topic each week.