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The mathematical theory of machine learning not only explains the current algorithms but can also motivate principled approaches for the future. This self-contained textbook introduces students and researchers of AI to the main mathematical techniques used to analyze machine learning algorithms, with motivations and applications. Topics covered include the analysis of supervised learning algorithms in the iid setting, the analysis of neural networks (e.g. neural tangent kernel and mean-field analysis), and the analysis of machine learning algorithms in the sequential decision setting (e.g. online learning, bandit problems, and reinforcement learning). Students will learn the basic mathematical tools used in the theoretical analysis of these machine learning problems and how to apply them to the analysis of various concrete algorithms. This textbook is perfect for readers who have some background knowledge of basic machine learning methods, but want to gain sufficient technical knowledge to understand research papers in theoretical machine learning.
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The mathematical theory of machine learning not only explains the current algorithms but can also motivate principled approaches for the future. This self-contained textbook introduces students and researchers of AI to the main mathematical techniques used to analyze machine learning algorithms, with motivations and applications. Topics covered include the analysis of supervised learning algorithms in the iid setting, the analysis of neural networks (e.g. neural tangent kernel and mean-field analysis), and the analysis of machine learning algorithms in the sequential decision setting (e.g. online learning, bandit problems, and reinforcement learning). Students will learn the basic mathematical tools used in the theoretical analysis of these machine learning problems and how to apply them to the analysis of various concrete algorithms. This textbook is perfect for readers who have some background knowledge of basic machine learning methods, but want to gain sufficient technical knowledge to understand research papers in theoretical machine learning.
Machine learning --- Artificial intelligence --- Mathematics
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Differential geometry. Global analysis --- Fluid mechanics --- Gas dynamics. --- Gaz, Dynamique des --- Conservation laws (Mathematics) --- Lois de conservation (mathématiques) --- Riemann-Hilbert problems. --- Riemann-Hilbert, Problèmes de --- Gas dynamics --- Riemann-Hilbert problems --- Hilbert-Riemann problems --- Riemann problems --- Boundary value problems --- Gasdynamics --- Fluid dynamics --- Thermodynamics --- Differential equations, Hyperbolic --- Gaz, Dynamique des. --- Riemann-Hilbert, Problèmes de.
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At the ICAB 2014, researchers from around the world will gather to discuss the latest scientific research, findings and technologies concerning Microbial Genetics and Breeding, Optimization and Control of Biological Processes, Biological Separation and Biological Purification, and Advances in Biotechnology. This conference will provide a platform for academic exchange on the application of biotechnology between domestic and international universities, research institutes, corporate experts and scholars. The participants will focus on the international development and future trends. The event will lay a solid foundation for addressing key technical challenges in various areas of applied biotechnology, providing opportunities to promote the development and expansion of the biotechnology industry.
Chemistry. --- Biotechnology. --- Biological Techniques. --- Environmental Engineering/Biotechnology. --- Cytology --- Chimie --- Biotechnologie --- Research_xMethodology. --- Cytology_xResearch_xMethodology. --- Mechanical Engineering --- Engineering & Applied Sciences --- Bioengineering --- Biotechnology --- Research --- Methodology. --- Cell biology --- Cellular biology --- Biology --- Cells --- Cytologists --- Chemical engineering --- Genetic engineering --- Biology—Technique. --- Environmental engineering. --- Environmental control --- Environmental effects --- Environmental stresses --- Engineering --- Environmental health --- Environmental protection --- Pollution --- Sustainable engineering
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At the ICAB 2014, researchers from around the world will gather to discuss the latest scientific research, findings and technologies concerning Microbial Genetics and Breeding, Optimization and Control of Biological Processes, Biological Separation and Biological Purification, and Advances in Biotechnology. This conference will provide a platform for academic exchange on the application of biotechnology between domestic and international universities, research institutes, corporate experts and scholars. The participants will focus on the international development and future trends. The event will lay a solid foundation for addressing key technical challenges in various areas of applied biotechnology, providing opportunities to promote the development and expansion of the biotechnology industry.
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At the ICAB 2014, researchers from around the world will gather to discuss the latest scientific research, findings and technologies concerning Microbial Genetics and Breeding, Optimization and Control of Biological Processes, Biological Separation and Biological Purification, and Advances in Biotechnology. This conference will provide a platform for academic exchange on the application of biotechnology between domestic and international universities, research institutes, corporate experts and scholars. The participants will focus on the international development and future trends. The event will lay a solid foundation for addressing key technical challenges in various areas of applied biotechnology, providing opportunities to promote the development and expansion of the biotechnology industry.
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