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Quantum technologies :
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A brain inspired sequence learning algorithm and foundations of a memristive hardware implementation /
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All the Math you missed : but need to know for graduate school /
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Applied machine learning and AI for engineers : solve business problems that can't be solved algorithmically /
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Applications of variational methods for quantum computers /
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Real-time simulations of transmon systems with time-dependent Hamiltonian models /
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Understanding molecular simulation : from algorithms to applications /
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Probabilistic machine learning : an introduction /
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Machine learning : a first course for engineers and scientists /
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Machine learning with PyTorch and Scikit-Learn : develop machine learning and deep learning models with Python /
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Subject (ZB): “...algorithm theory...”
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Neuromorphic engineering : the scientist's, algorithms designer's and computer architect's perspectives on brain-inspired computing /
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Introduction to algorithms /
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Computer vision : algorithms and applications /
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Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow : concepts, tools, and techniques to build intelligent systems /
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Algorithmen und Datenstrukturen : Grundlagen und probabilistische Methoden für den Entwurf und die Analyse /
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Application of silicon photomultipliers in neutron detectors /
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Structural plasticity as a connectivity generation and optimization algorithm in neural networks /
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Grokking simplicity : taming complex software with functional thinking /
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“...MNLS - Computational methods - algorithms, software...”
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Interpretable Artificial Intelligence : a perspective of granular computing /
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Nature-inspired optimization algorithms /
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