This page works through an example of fitting a logistic model with the iteratively-reweighted least squares (IRLS) algorithm. If you'd like to examine the algorithm in more detail, here is Matlab ...

@article{Sawhney:2020:MCG, author = {Sawhney, Rohan and Crane, Keenan}, title = {Monte Carlo Geometry Processing: A Grid-Free Approach to PDE-Based Methods on ...

This course provides a comprehensive introduction to computer vision. Major topics include image processing, detection and recognition, geometry-based and physics-based vision and video analysis.

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Thank you for your interest in graduate studies at CMU's School of Computer Science. We offer a wide range of professional and academic master's programs and Ph.D. programs across our seven ...

We are very grateful to Butterworth-Heinemann, owners of Digital Press, for allowing us to make the full text of this important reference work widely available in electronic format. The paperbound ...

I am currently working at Snowflake as a Postdoctoral Research Fellow. I will join Tsinghua IIIS as an Assistant Professor in Spring 2021. I received my Ph.D. degree from the Computer Science ...

This course covers the design and implementation of compiler and runtime systems for high-level languages, and examines the interaction between language design, compiler design, and runtime ...

Individual CS faculty members have little influence over the undergraduate admissions process, which is coordinated by the University's Office of Undergraduate Admission, not our department. I am ...

Welcome to the 10-301/601: Introduction to Machine Learning primer! This website serves as a supplementary tool for students enrolled in the course, providing quick references and explanations for ...

A new study using a CMU tool shows that AI agents pose safety risks in nearly two-thirds of their interactions with humans in critical areas such as education and health care.

MLD Ph.D. student Aakash Lahoti has been named a 2025-2026 Jump Trading Fellow for his work on building efficient, effective sequence-to-sequence models that can handle very long inputs.