Active Learning Strategies: Optimizing Data Labeling Efforts by Prioritizing Informative Samples
In the world of machine learning, data often behaves like a vast orchard. Some fruits hang low, easy to pluck, while others hide deep within thick branches, demanding more effort but offering richer flavour. Active learning works exactly like a skilled farmer who knows which fruits matter the most. Instead of harvesting everything blindly, it…