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Stephen introduces the topic of inference for prediction problems, focusing on uncertainty quantification for prediction problems using complex machine learning models. He acknowledges his co-authors and introduces a real classification problem involving medical images categorized into three classes: normal, COVID-19, and pneumonia. The data used in the example is real and a deep learning model was fit to it.
