Center for Statistics and Machine Learning
CSML and PICSciE hold first joint graduate certificate colloquium in statistics and machine learning and computational science and engineering. The DataX video library features research work, scholars, and data scientists affiliated with DataX.
Machine Learning | Computer Science Department at Princeton University
At Princeton, research in machine learning includes: the development of new deep learning architectures for computer vision, natural language, and materials science; sophisticated new methods for control and reinforcement learning; theoretical investigation of deep learning; new methods for understanding and correcting bias in machine learning ...
Statistics and Machine Learning - Graduate School
Machine learning - especially deep learning - is opening new horizons for research in the humanities and social sciences. This course offers a practical introduction to deep learning for graduate students, without assuming calculus/linear algebra or prior experience with coding.
Princeton AI & ML
Courses. • COS 302 (Fall, Spring) - Mathematics for Numerical Computing and Machine Learning. • COS 324 (Fall, Spring) - Introduction to Machine Learning.
Princeton AI & ML
Sanjeev Arora, the Charles C. Fitzmorris Professor in Computer Science, is exploring the most baffling aspects of machine learning—especially “deep learning.” His end goal is to open the door to training techniques for machines that make the right decisions, mathematically guaranteed.
COS 324: Introduction to Machine Learning - Princeton University
Feb 15, 2019 · [ISL] Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani, An Introduction to Statistical Learning, Springer. Freely available online. Frequently Asked Questions
Graduate Program - Center for Statistics and Machine Learning
Princeton graduate students can now earn a Graduate Certificate in Statistics and Machine Learning as a complement to their departmental graduate studies. This certificate is overseen by CSML.
Graduate Certificate Program - Center for Statistics and Machine Learning
The Graduate Certificate Program in Statistics and Machine Learning is designed to formalize the training of students who contribute to or make use of statistics and machine learning as a significant part of their degree program.
SML Undergraduate Courses - Center for Statistics and Machine Learning
The Statistics and Machine Learning (SML) courses at Princeton University provide students with a general understanding of the field. Taught by leading experts, the curriculum covers a broad range of topics, including data collection, analysis, and deep learning.
Statistics and Machine Learning | Princeton University
Statistics and machine learning — the academic disciplines centered around developing and understanding data analysis tools — play an essential role in various scientific fields including biology, engineering and the social sciences.