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Who won the Kaggle competition on the ALS data set?
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The winner of the ALS competition was a team from the University of California, San Francisco. Their method was called deep learning. Deep learning is a machine learning method that uses multiple layers of neural networks to learn features from data. In this case, the team used deep learning to train a convolutional neural network (CNN) to identify ALS patients from images of their brain scans.