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Machine Learning for anomaly detection

At Google IO this year, I had many activities, one of which was to teach a workshop in anomaly detection. It uses a novel approach – by training an encoder-decoder architecture with electrocardiogram (EKG) values and exploring the reconstruction error. The logic was that when an autoencoder model gets trained on only good EKG values, then the r...

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