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Machine Learning for Absolute Beginners: A Plain English Introduction (Third Edition) (Paperback)
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Meaningful Futures with Robots: Designing a New Coexistence (Chapman & Hall/CRC Artificial Intelligence and Robotics) (Paperback)
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Foundations of Reinforcement Learning with Applications in Finance (Hardcover)
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Modern Data Science with R (Chapman & Hall/CRC Texts in Statistical Science) (Hardcover)
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Quantum Mechanics and Bayesian Machines (Hardcover)
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Hands-On Graph Neural Networks Using Python: Practical techniques and architectures for building powerful graph and deep learning apps with PyTorch (Paperback)
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Building Machine Learning Powered Applications: Going from Idea to Product (Paperback)
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Statistical Computing in C++ and R (Chapman & Hall/CRC the R) (Paperback)
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Essentials of Discrete Mathematics (Hardcover)
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Mastering Reinforcement Learning with Python: Build next-generation, self-learning models using reinforcement learning techniques and best practices (Paperback)
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Feynman Lectures On Computation (Frontiers in Physics) (Paperback)
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Roc Curves for Continuous Data (Paperback)
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Advances and Open Problems in Federated Learning (Foundations and Trends(r) in Machine Learning) (Paperback)
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