Machine learning models are deployed as part of wider systems where outputs of one model are consumed by other models. This composite structure for machine learning systems is the dominant approach for deploying artificial intelligence. Such deployed systems can be complex to understand, they bring with them intellectual debt. In this talk we'll argue that the next frontier for automated machine learning is to move to automation of the systems design, going from AutoML to AutoAI.
Neil Lawrence (University of Cambridge)
Neil Lawrence is the DeepMind Professor of Machine Learning at the University of Cambridge and a Senior AI Fellow at the Alan Turing Institute.
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