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This is the first rigorous, self-contained treatment of the theory of deep learning. Aimed at scientists, instructors, and students interested in artificial intelligence and deep learning, it demonstrates many applications in physics, chemistry, and biomedicine. It includes a full set of exercises and encourages out-of-the-box thinking.
DNA microarrays are in the process of revolutionizing biology and medicine. They can provide a snapshot of the level of gene expression in a cell and are therefore a powerful tool with which to study biological phenomena at the molecular level. This 2002 book explores this powerful technology.
Despite its haphazard growth, the Web hides powerful underlying regularities -- from the organization of its links to the patterns found in its use by millions of users. Probabilistic modelling allows many of these regularities to be predicted on the basis of theoretical models based on statistical methodology.
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