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Title: Linear Algebra for Data Science, Machine Learning, and Signal Processing, Author: Jeffrey A. Fessler
Title: Microsensors, MEMS, and Smart Devices, Author: Julian W. Gardner
Title: Multimodal Generative AI, Author: Akansha Singh
Title: Pattern Recognition and Machine Learning, Author: Christopher M. Bishop
Title: Mathematics for Machine Learning, Author: Marc Peter Deisenroth
Title: Foundations of Robotics, Author: Bruno Siciliano
Title: Bandit Algorithms, Author: Tor Lattimore
Title: Planning Algorithms, Author: Steven M. LaValle
Title: Introduction to Autonomous Robots: Mechanisms, Sensors, Actuators, and Algorithms, Author: Nikolaus Correll
Title: Estimation with Applications to Tracking and Navigation: Theory Algorithms and Software, Author: Yaakov Bar-Shalom
Title: Introduction to Autonomous Mobile Robots, second edition, Author: Roland Siegwart
Title: Computer Vision: Algorithms and Applications, Author: Richard Szeliski
Title: Algebraic Geometry and Statistical Learning Theory, Author: Sumio Watanabe
Title: Bayesian Optimization, Author: Roman Garnett
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Title: The Science of Deep Learning, Author: Iddo Drori
Title: Mathematical Analysis of Machine Learning Algorithms, Author: Tong Zhang
Title: Random Matrix Methods for Machine Learning, Author: Romain Couillet
Title: Mining of Massive Datasets, Author: Jure Leskovec

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