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Improving asset health and grid resilience using machine learning

AWS Machine Learning Blog

There are only 0.12% of anomalous images in the entire data set (i.e., Finally, there is no labeled data available for training a supervised machine learning model. Next, we describe how we address these challenges and explain our proposed method. First, we will describe the steps involved in the data processing pipeline.