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Materials Data Science [E-Book] : Introduction to Data Mining, Machine Learning, and Data-Driven Predictions for Materials Science and Engineering /
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Machine Learning in Modeling and Simulation [E-Book] : Methods and Applications /
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Final report of the DeepRain project = Abschlußbericht des DeepRain Projektes [E-Book] /
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Deep Learning and Physics [E-Book] /
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Intelligent Astrophysics [E-Book] /
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Machine learning with neural networks : an introduction for scientists and engineers [E-Book] /
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Neural machine translation [E-Book] /
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The art of feature engineering : essentials for machine learning [E-Book] /
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Guide to Deep Learning Basics [E-Book] : Logical, Historical and Philosophical Perspectives /
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Fundamentals of Artificial Intelligence [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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Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices [E-Book] : 33rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2020, Kitakyushu, Japan, September 22-25, 2020, Proceedings /
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Fundamentals of Pattern Recognition and Machine Learning [E-Book] /
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Brain Informatics [E-Book] : 13th International Conference, BI 2020, Padua, Italy, September 19, 2020, Proceedings /
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Machine Learning in Medical Imaging [E-Book] : 11th International Workshop, MLMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings /
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Verification and Evaluation of Computer and Communication Systems [E-Book] : 14th International Conference, VECoS 2020, Xi'an, China, October 26-27, 2020, Proceedings /
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Deep learning with TensorFlow 2 and keras : regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API, second edition [E-Book] /
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Artificial Intelligence and Mobile Services - AIMS 2020 : 9th International Conference, Held as Part of the Services Conference Federation, SCF 2020, Honolulu, HI, USA, September 18-20, 2020, Proceedings [E-Book] /
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TensorFlow reinforcement learning quick start guide : get up and running with training and deploying intelligent, self-learning agents using Python [E-Book] /
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TensorFlow 2.0 quick start guide : get up to speed with the newly introduced features of TensorFlow 2.0 [E-Book] /
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