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Knowledge-guided machine learning : accelerating discovery using scientific knowledge and data /
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Machine learning for civil & environmental engineers : a practical approach to data-driven analysis, explainability, and causality /
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Introduction to conformal prediction with Python : a short guide for quantifying uncertainty of machine learning models /
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Modeling mindsets : the many cultures of learning from data /
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Applied machine learning and AI for engineers : solve business problems that can't be solved algorithmically /
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Interpreting machine learning models with SHAP : a guide with Python examples and theory on shapley values /
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Generative deep learning : teaching machines to paint, write, compose, and play /
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Deep learning to see : towards new foundations of computer vision /
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Handbook of machine learning applications for genomics /
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Random matrix methods for machine learning /
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Machine learning in biological sciences : updates and future prospects /
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Probabilistic machine learning : an introduction /
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The principles of deep learning theory : an effective theory approach to understanding neural networks /
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Machine learning : a first course for engineers and scientists /
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Interpretable machine learning : a guide for making black box models explainable /
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Machine learning with PyTorch and Scikit-Learn : develop machine learning and deep learning models with Python /
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Modern time series forecasting with Python : explore industry-ready time series forecasting using modern machine learning and deep learning /
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Accelerated materials discovery : how to use artificial intelligence to speed up development /
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Final report of the DeepRain project = Abschlußbericht des DeepRain Projektes /
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Final report of the DeepRain project = Abschlußbericht des DeepRain Projektes [E-Book] /
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