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1 - 1 of 1 results for: DESINST 240: Designing Machine Learning: A Multidisciplinary Approach

DESINST 240: Designing Machine Learning: A Multidisciplinary Approach

As machine learning makes its way into all kinds of products, systems, spaces, and experiences, we need to train a new generation of creators to harness the potential of machine learning and also to understand its implications. This class invites a mix of designers, data scientists, engineers, business people, and diverse professionals of all backgrounds to help create a multi-disciplinary environment for collaboration. Through a mixture of hands-on guided investigations and design projects, students will learn to design systems of machine learning that create lasting value within their human contexts and environments. Application required, see dschool.stanford.edu/classes for more information.
Terms: Win | Units: 3
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