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Materials data science : introduction to data mining, machine learning, and data-driven predictions for materials science and engineering /
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Applied machine learning and AI for engineers : solve business problems that can't be solved algorithmically /
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Machine learning in modeling and simulation : methods and applications /
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Essential Math for AI : next-level mathematics for efficient and successful AI systems /
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Generative deep learning : teaching machines to paint, write, compose, and play /
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Understanding deep learning /
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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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Math for deep learning : what you need to know to understand neural networks /
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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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Computer vision : algorithms and applications /
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The principles of deep learning theory : an effective theory approach to understanding neural networks [E-Book] /
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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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Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow : concepts, tools, and techniques to build intelligent systems /
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Machine learning with PyTorch and Scikit-Learn : develop machine learning and deep learning models with Python [E-Book] /
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Data science in chemistry : artificial intelligence, big data, chemometrics and quantum computing with Jupyter /
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Deep learning : a visual approach /
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Practical deep learning : a Python-based introduction /
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