Northwestern University Trustee Kimberly K. Querrey (’22, ’23 P) has made a $10 million gift to create and enhance the ...

Led by Professor Cécile Chazot, the summit advanced MICRO’s mission to support students from schools without dedicated ...

Coauthored by JD/CS PhD student Peter Chan and Professor Xiao Wang, the paper presents a statutory-technological framework ...

Professors John Rogers, Guillermo Ameer, and Yonggang Huang developed the first wearable device that gauges health by sensing ...

In the brightly lit MSE Teaching Laboratory inside Cook Hall, teams of Northwestern Engineering students peer into 3D printers, eagerly waiting to see their latest results. The materials they are ...

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Global healthcare problems are complex and require a multi-leveled multi-pronged approach inclusive of a diverse set of stakeholders. While the data used for model training and decision making is ...

The course emphasizes interpretable machine learning techniques and their applications in the financial services industry. Students will develop machine learning models, explain model predictions, and ...

This course covers three major algorithmic topics in machine learning. Half of the course is devoted to reinforcement learning with the focus on the policy gradient and deep Q-network algorithms. The ...

This course explores the models and algorithms commonly used in marketing, providing a structured approach to applying analytics in real-world marketing scenarios. We begin with a foundational ...

This course explores the use of social network analysis to understand the growing connectivity and complexity in the world around us on different scales-ranging from small groups to the World Wide Web ...