17-428 Machine Learning and Sensing

12 units, Carnegie Mellon University

Machine learning and sensors are at the core of most modern computing devices and technology. From Amazon Echo to Apple Watch to Google Photos to selfdriving cars, making sense of the data coming from powerful but noisy sensors is the key challenge. The aim of the course will be to explore this intersection of sensors and machine learning, understand the inner workings on modern computing technologies, and design the future ones. We will cover data collection, signal processing, data processing, data visualization, feature engineering, machine learning tools, and some prototyping technologies. The course will focus on class discussions, handson demonstrations, and tutorials. Students will be evaluated on their class participation, multiple mini projects, and a final team project.

Prerequisites: none listed

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