Active Learning: How Machines Learn Better with Human Guidance

In machine learning, a large amount of labeled data is needed to train accrurate models. However labelling data can be time consuming and expensive, especially in domains like healthcare or autonomous driving. Active learning solves this problem by letting the model query a human expert for labels on the most uncertain or informative data points. This reduces the amount of labeled data needed which then speeds up the training process.

WHAT IS ACTIVE LEARNING?

Active learning is a type of machine...