Research across the disciplines increasingly requires the integration of data science, statistics and machine learning to make cutting-edge advancements. Princeton University is dedicated to playing a vital role in preparing students to lead in these areas, and the Center for Statistics and Machine Learning (CSML) is a campus focal point for fulfilling this commitment. The center’s mission is threefold: to foster and support a community of scholars addressing the challenges of data-driven resear...
The Center for Statistics and Machine Learning is a focal point for education and research in data science at Princeton University. By its nature, CSML is an interdisciplinary enterprise. The center’s mission is to foster and support:.
Johns Hopkins University
Statistics is the study of the collection, analysis, interpretation, presentation, and organization of data. In applying statistics to, e.g., a scientific, industrial, or social problem, it is conventional to begin with a statistical population or a statistical model process to be studied. Machine learning is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed.
Probability theory aims to provide a mathematical framework to describe, model, analyze, and solve problems involving random phenomena and complex systems. While its original motivation was the study of gambling problems, probability has become successful in applications in finance, computer science, engineering, statistical mechanics, and biology. In the mathematical sciences, probability is fundamental for the analysis of statistical procedures, and the probabilistic method is an important too...