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AutoML and AI at Google

Practical AI

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Navigating the Complexity of AutoML and Human Involvement in Machine Learning

This chapter explores the intricacies of AutoML tools in machine learning, focusing on the delicate balance between automation and necessary human oversight. It highlights the limitations users face in model customization and understanding, while also teasing the launch of a new podcast series that delves into the human experience.

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