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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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Searching for patterns : how we can know without asking /
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Applied machine learning and AI for engineers : solve business problems that can't be solved algorithmically /
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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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Interpreting machine learning models with SHAP : a guide with Python examples and theory on shapley values /
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Specialty crops for climate change adaptation : strategies for enhanced food security by using machine learning and artificial intelligence /
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Generative deep learning : teaching machines to paint, write, compose, and play /
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Machine learning in biological sciences : updates and future prospects /
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Deep learning to see : towards new foundations of computer vision /
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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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Big data analytics and machine intelligence in biomedical and health informatics : concepts, methodologies, tools and applications /
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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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Epochenwandel - Holismus im 21. Jahrhundert : Ganzheitlichkeit in der Wissenschaft: Von immanenter Naturdominanz/immerwährend-systemrelevanten Gehirn-, Geist- und Psyche-Reaktionen zur Welt-Gehirn Beziehung /
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Linear regression : a tutorial introduction to the mathematics of regression analysis /
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Machine learning : a first course for engineers and scientists /
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Denoising with quantum machine learning /
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