Machine Learning from Weak Supervision | HardcoverAn Empirical Risk Minimization Approach Series: Adaptive Computation and Machine Learning series Fundamental theory and practical algorithms of weakly supervised classification, emphasizing an approach based on empirical risk minimization. Standard machine learning techniques require large amounts of labeled data to work well. When we apply machine learning to problems in the physical world, however, it is extremely difficult to collect such