Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...
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Mastering machine learning from code to tuning
From implementing KNN, PCA, and clustering to applying deep learning and scientific tuning, these resources show how to build, refine, and optimize machine learning models. They combine hands-on ...
Abstract: Efficient factorization of low-rank matrices have become crucially important in modern machine learning applications. In this paper, we present a randomized, rank-revealing QLP algorithm, ...
Abstract: The increasing deployment of Internet of Things devices has introduced significant cyber security challenges, creating a need for robust intrusion detection systems. This research focuses on ...
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