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After presenting the key concepts and foundations of machine learning, a subfield of artificial intelligence, its applications in quantum chemistry and physics are presented in an accessible way, enabling readers to engage with emerging literature on machine learning in science. By examining its state-of-the-art applications, readers will discover how machine learning is being applied within their own field and appreciate its broader impact on science and technology. This book is accessible to undergraduates and more advanced readers from physics, chemistry, engineering, and computer science. Online resources include Jupyter notebooks to expand and develop upon key topics introduced in the book.  Free Download Machine Learning Engineering on AWS - Second Edition English | 2025 | ISBN: 9781835881088 | 311 Pages | EPUB | 32 MB Recent advancements in generative AI, large language models (LLMs), Retrieval-Augmented Generation (RAG), and AI agents have created a soaring demand for machine learning engineers who can build, manage, and scale modern AI-powered systems. To stay ahead in this rapidly evolving AI landscape, you need a deep theoretical understanding as well as hands-on expertise with the right tools, services, and platforms.  Free Download Machine Learning Based Optimization of Laser-Plasma Accelerators English | 2025 | ISBN: 303188082X | 270 Pages | PDF EPUB (True) | 31 MB This book explores the application of machine learning-based methods, particularly Bayesian optimization, within the realm of laser-plasma accelerators. 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