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Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications (Paperback, 2017)

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Deep Neural Networks in a Mathematical Framework (Paperback, 2018)

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An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods (Hardcover)

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Observers in Control Systems: A Practical Guide (Hardcover)

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Artificial-Intelligence-based Electrical Machines and Drives : Application of Fuzzy, Neural, Fuzzy-neural, and Genetic-algorithm-based Techniques (Hardcover)

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Autonomous Robotics and Deep Learning (Paperback)

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Convex Optimization in Normed Spaces: Theory, Methods and Examples (Paperback, 2015)

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Robots and Art: Exploring an Unlikely Symbiosis (Hardcover, 2016)

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Machine Learning Control - Taming Nonlinear Dynamics and Turbulence (Hardcover, 2017)

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Matrix and Tensor Factorization Techniques for Recommender Systems (Paperback)

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Hyperplane Arrangements: An Introduction (Paperback, 2017)

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Notes from the International Autumn School on Computational Number Theory (Paperback, 2019)

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Numerical Linear Algebra and Matrix Factorizations (Hardcover)

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Algorithm Portfolios: Advances, Applications, and Challenges (Paperback, 2021)

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