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Machine Learning: What Is It, and What Is It Good For?

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Beacon Salon # 11

Machine Learning is the twentieth century’s second original answer to the question: how can we learn useful information from scientific observations? In this talk I will present the view that there are only four answers to this question in total, and that Machine Learning is built on the distinct idea that prediction and classification are the most effective approaches to understanding complex systems, such as some plants and bioreactors.

This talk is part of the Chemical Engineering and Biotechnology occasional seminars series.

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