Most data scientists and engineers today rely on quality labeled data to train machine learning models. But building a training set manually is time-consuming a

Most data scientists and engineers today rely on quality labeled data to train machine learning models. But building a training set manually is time-consuming a

Offers a practical guide for improving schools dramatically that will enable all students from all backgrounds to achieve at high levels. Includes assessment fo

Over the next few decades, machine learning and data science will transform the finance industry. With this practical book, analysts, traders, researchers, and

Fundamental theory and practical algorithms of weakly supervised classification, emphasizing an approach based on empirical risk minimization. Standard machine