Learning Path

Core Machine Learning Concepts → Practical Active Learning System Design

This advanced graduate-level path equips machine learning practitioners with the knowledge to design systems that actively select the most informative data for labeling. Starting from core ML and probabilistic foundations, it covers query strategies, uncertainty and diversity sampling, expected model change, and semi-supervised learning, with a strong emphasis on practical implementation and evaluation.