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Sparse Modeling: Theory, Algorithms, and Applications

By (author) Irina Rish, By (author) Genady Grabarnik

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Sparse models are particularly useful in scientific applications, such as biomarker discovery in genetic or neuroimaging data, where the interpretability of a predictive model is essential. Sparsity can also dramatically improve the cost efficiency of signal processing.Sparse Modeling: Theory, Algorithms, and Applications provides an introduction t

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The Coming Wave: AI, Power and Our Future

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The Order of Time

Carlo Rovelli
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Originally published in Italian: L'ordine del tempo (Milan: Adelphi Edizioni, 2017).

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Helgoland: The Strange and Beautiful Story of Quantum Physics

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