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Applied machine learning and AI for engineers : solve business problems that can't be solved algorithmically /
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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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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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Denoising with quantum machine learning /
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Denoising with quantum machine learning [E-Book] /
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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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Machine learning with PyTorch and Scikit-Learn : develop machine learning and deep learning models with Python [E-Book] /
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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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Deep learning : a visual approach /
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Practical deep learning : a Python-based introduction /
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Machine learning with neural networks : an introduction for scientists and engineers [E-Book] /
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Guide to Deep Learning Basics [E-Book] : Logical, Historical and Philosophical Perspectives /
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Neural Information Processing [E-Book] : 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23-27, 2020, Proceedings, Part III /
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Neural machine translation [E-Book] /
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Unsupervised Learning in Space and Time [E-Book] : A Modern Approach for Computer Vision using Graph-based Techniques and Deep Neural Networks /
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Hands-on neural networks with TensorFlow 2.0 : understand TensorFlow, from static graph to eager execution, and design neural networks /
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