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Title: Deep Learning, Author: Ian Goodfellow
Title: Deep Learning: Foundations and Concepts, Author: Christopher M. Bishop
Title: Foundations of Computer Vision, Author: Antonio Torralba
Title: Artificial Intelligence in Medicine, Author: Niklas Lidströmer
Title: The Elements of Statistical Learning: Data Mining, Inference, and Prediction / Edition 2, Author: Trevor Hastie
Title: Linear Algebra and Optimization for Machine Learning: A Textbook, Author: Charu C. Aggarwal
Title: Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies, Author: John D. Kelleher
Title: Introduction to Machine Learning, fourth edition, Author: Ethem Alpaydin
Title: Foundations of Machine Learning, second edition, Author: Mehryar Mohri
Title: Algorithms for Optimization, Author: Mykel J. Kochenderfer
Title: Deep Generative Modeling, Author: Jakub M. Tomczak
Title: An Introduction to Machine Learning, Author: Miroslav Kubat
Title: Introduction to AI Safety, Ethics, and Society, Author: Dan Hendrycks
Title: Reimagining Literacy in the Age of AI: Theory and Practice, Author: Jason D. DeHart
Title: Elements of Dimensionality Reduction and Manifold Learning, Author: Benyamin Ghojogh
Title: AI Ethics: A Textbook, Author: Paula Boddington
Title: AI for Advanced Manufacturing and Industrial Applications, Author: Bidyut Sarkar
Title: Generative AI, Cybersecurity, and Ethics, Author: Mohammad Rubyet Islam
Title: Artificial Intelligence: Principles and Practice, Author: George F. Luger
Title: Knowledge Graphs: Fundamentals, Techniques, and Applications, Author: Mayank Kejriwal

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