A way to train AI well with less data.
It learns like a kid who studies the review sheet. It skips the giant pile of boring worksheets.
This helps with medical scans and factory checks. Teams collect less data and label fewer examples.
Active Learning
Active Learning picks the most useful samples to label first.
Few-Shot Learning
Few-Shot Learning handles a new task with very few examples.
Transfer Learning
Transfer Learning reuses old knowledge for a new task.
Data Augmentation
Data Augmentation makes more training examples from existing ones.