Introduction to Active Learning

Description

Summary

• As data gets cheaper and cheaper to collect and store, data scientists are left with more data to deal with that they will ever be capable of analyzing.
• Labeling faster vs. labeling smarter To address the exploding need in quality annotations, a Human-in-the-Loop AI approach where a human annotator validates the output of a machine learning algorithm seems like a promising approach.
• Reinforcement learning is a goal-oriented learning approach inspired by behavioral psychology that allows you to take inputs from the environment.
• The approach used to determine which data instance to label next is referred to as a querying strategy.