In this webcast, Grace Lewis and Ipek Ozkaya provide perspectives involved in the development and operation of ML systems. What attendees will learn: • Perspectives involved in the development and operation of ML systems • Types of mismatch that occur in the development of ML systems • Future work in software engineering for ML systems

In this webcast, Grace Lewis and Ipek Ozkaya provide perspectives involved in the development and operation of ML systems. What attendees will learn: • Perspectives involved in the development and operation of ML systems • Types of mismatch that occur in the development of ML systems • Future work in software engineering for ML systems

Software Engineering for Machine Learning

Each webinar features an SEI researcher discussing their research on software and cybersecurity problems of considerable complexity. The webinar series is a way for the SEI to accomplish its core purpose of improving the state-of-the-art in software engineering and cybersecurity and transitioning this work to the community. The SEI is a federally funded research and development center sponsored by the U.S. Department of Defense and operated by Carnegie Mellon University. The SEI Webinar Series is produced by SEI Communications Outreach.

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Software Engineering for Machine Learning

Software Engineering for Machine Learning