Machine Learning

Cornell’s machine learning research shapes how machines process, learn from, and analyze massive datasets. The work spans core computational challenges in pattern recognition, neural networks, and learning theory, developing new frameworks that push the boundaries of artificial intelligence.

Operating at the intersection of computer science and data science, the interdisciplinary team brings together faculty expertise across departments to tackle complex learning problems.

Cornell Machine Learning Research Group

Statistics and Data Science: Machine Learning