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Human-robot interaction in law and its narratives : legal blame, procedure, and criminal law /

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Algorithmic regulation /

Oxford scholarship online

Mind bugs : the origins of procedural misconceptions / mā VanLehn, Kurt

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Induction : processes of inference, learning, and discovery /

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Advances in large margin classifiers /

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Predicting structured data /

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Least squares support vector machines /

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Ontology learning and population : bridging the gap between text and knowledge /

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Evaluating Learning Algorithms : a classification perspective / mā Japkowicz, Nathalie

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Building Machine Learning Systems with Python. mā Richert, Willi

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Learning Bayesian models with R : become an expert in Bayesian machine learning methods using R and apply them to solve real-world big data problems / mā Koduvely, Hari M.

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Python : deeper insights into machine learning : leverage benefits of machine learning techniques using Python : a course in three modules. mā Raschka, Sebastian, Julian, David, Hearty, John

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Spark for data science : analyze your data and delve deep into the world of machine learning with the latest Spark version, 2.0 / mā Duvvuri, Srinivas

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TensorFlow Machine Learning Cookbook. mā McClure, Nick

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Practical machine learning cookbook : resolving and offering solutions to your machine learning problems with R / mā Tripathi, Atul

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Mastering machine learning with R : advanced prediction, algorithms, and learning methods with R 3.x / mā Lesmeister, Cory

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Python deep learning : next generation techniques to revolutionize computer vision, AI, speech and data analysis / mā Zocca, Valentino, Spacagna, Gianmario, Slater, Daniel, Roelants, Peter

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Python machine learning by example : easy-to-follow examples that get you up and running with machine learning / mā Liu, Yuxi (Hayden)

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Approximation Methods for Efficient Learning of Bayesian Networks. mā Riggelsen, C.

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Deep learning innovations and their convergence with big data /

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