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Machine Learning for Causal Inference

This book provides a deep understanding of the relationship between machine learning and causal inference. It covers a broad range of topics, starting with the preliminary foundations of causal inference,…

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Machine Learning in Clinical Neuroimaging

This book constitutes the refereed proceedings of the 7th International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2024, held in Conjunction with MICCAI 2024 in Marrakesh, Morocco, on 10t…

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Machine Learning in Medical Imaging

This book constitutes the proceedings of the 15th International Workshop on Machine Learning in Medical Imaging, MLMI 2023, held in conjunction with MICCAI 2024, Marrakesh, Morocco, on October 6, 2024.The…

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Machine Learning and Intelligent Communication

This book constitutes the refereed post-conference proceedings of the 8th EAI International Conference on Machine Learning and Intelligent Communication, MLICOM 2023, which was held in Beijing, China, dur…

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Artificial intelligence and Machine Learning

This book constitutes the revised selected papers of the 41st IBIMA International Conference on Artificial intelligence and Computer Science, IBIMA-AI 2023, which took place in Granada, Spain during June …

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Machine Learning Methods in Systems

This book requires an in-depth exploration of machine learning and its integration into system engineering. This book presents contemporary research methodologies, with a strong focus on the innovative ap…

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Giovanni Cerulli
Fundamentals of Supervised Machine Learning

This book presents the fundamental theoretical notions of supervised machine learning along with a wide range of applications using Python, R, and Stata. It provides a balance between theory and applicati…

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Machine Learning in Molecular Sciences

Machine learning and artificial intelligence have propelled research across various molecular science disciplines thanks to the rapid progress in computing hardware, algorithms, and data accumulation. Thi…

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Machine Learning in Medical Imaging

This book constitutes the proceedings of the 15th International Workshop on Machine Learning in Medical Imaging, MLMI 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, on October 6, 2024.The…

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Advancement of Science and Technology

This proceeding presents the papers from the 11th International Conference on Advancement of Science and Technology (ICAST 2023), which took place in Bahir Dar, Ethiopia, in November 2023. The papers pres…

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John Berryman, Albert Ziegler
Prompt Engineering for LLMs

Large language models (LLMs) are revolutionizing the world, promising to automate tasks and solve complex problems. A new generation of software applications are using these models as building blocks to u…

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Advancing Healthcare Through Decision Intelligence

Advancing Healthcare through Decision Intelligence: Machine Learning, Robotics, and Analytics in Biomedical Informatics demonstrates real-world applications of decision intelligence - specifically machine…

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Ilse Depraetere, Thierry Hamon, Clemens Hufeld, Benoît Leclercq
Models of Modals

Modal verbs in English communicate delicate shades of meaning, there being a large range of verbs both on the necessity side (must , have to , should , ought to , need , need to ) and the possibility side…

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Machine Learning, Optimization, and Data Science

The three-volume set LNAI 15508-15510 constitutes the refereed proceedings of the 10th International Conference on Machine Learning, Optimization, and Data Science, LOD 2024, held in Castiglione della Pes…

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Charu C. Aggarwal
Probability and Statistics for Machine Learning

This book covers probability and statistics from the machine learning perspective. The chapters of this book belong to three categories:*The basics of probability and statistics:*These chapters focus on t…

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Boosting Software Development Using Machine Learning

This book explores the transformative effects of AI and ML on software engineering. It emphasizes the potential of cutting-edge software development technologies such as Generative AI and ML applications.…

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AI and ML Techniques in Iot-Based Communication

An insightful and up-to-date discussion of how to use contemporary IoT and AI technology to advance sustainable development initiativesIn AI and ML Techniques in IoT-based Communication: A Path to Sustain…

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Matthew Guzdial, Adam Summerville, Sam Snodgrass
Procedural Content Generation via Machine Learning

This second edition updates and expands upon the first beginner-focused guide to Procedural Content Generation via Machine Learning (PCGML), which is the use of computers to generate new types of content …

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Eklas Hossain
Machine Learning Crash Course for Engineers

¿Machine Learning Crash Course for Engineersis a reader-friendly introductory guide to machine learning algorithms and techniques for students, engineers, and other busy technical professionals. The book …

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From Machine Learning to Artificial Intelligence

The world is on a cusp of something great. Technology has advanced from solving simple issues to complex issues in both human life and other aspects such as social, economic, and environmental issues. The…

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