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This book bridges theoretical computer science and machine learning by exploring what the two sides can teach each other. It emphasizes the;
Vergelijkbare producten zoals Algorithmic Aspects of Machine Learning
This book bridges theoretical computer science and machine learning by exploring what the two sides can teach each other. It emphasizes the;
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Vergelijkbare producten zoals Machine Learning for Algorithmic Trading
Vergelijkbare producten zoals Machine Learning for Algorithmic Trading
This book constitutes the thoroughly refereed post-conference proceedings of the Second International Workshop on Algorithmic Aspects;
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Algorithmic Learning in a Random World describes recent theoretical and experimental developments in building computable approximations to;
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Algorithmic Learning in a Random World describes recent theoretical and experimental developments in building computable approximations to;
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introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides a theoretical account of the;
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learning and deep learning Tackle real-time processing of streaming data with socket programming tools Implement automated algorithmic trading;
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methods and on the practical algorithmic aspects of machine learning and its role in security. A collection of tutorials that draw from a broad;
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Features Follows an algorithmic approach for data analysis in machine learning Introduces machine learning methods in applications Address;
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meta learning applied to neurobiological modeling/optimization; state-of-the-art hybrid systems; and the algorithmic foundations of artificial;
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machine learning to financial market monitoring and algorithmic trading.;
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Algorithmic Trading Methods: Applications using Advanced Statistics, Optimization, and Machine Learning Techniques, Second Edition, is a;
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-dimension; Support Vector Machines (SVMs); kernel methods; boosting; on-line learning; multi-class classification; ranking; regression; algorithmic;
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, you'll learn how to use AI and machine learning to discover statistical inefficiencies in financial markets and exploit them through algorithmic;
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and machine learning by exploring transparency in machine learning, visual explanation of ML processes, algorithmic explanation of ML models;
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human and machine learning by exploring transparency in machine learning, visual explanation of ML processes, algorithmic explanation of ML;
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. While the applications of such systems are diverse (for example, machine learning, data analytics), most involve relatively standard data;
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This book adopts a detailed and methodological algorithmic approach to explain the concepts of pattern recognition. While the text provides;
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This volume investigates algorithmic methods based on machine learning in order to design sequential investment strategies for financial;
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New edition of a graduate-level textbook on that focuses on online convex optimization, a machine learning framework that views;
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Change in Computational Finance: Data Science, Machine Learning and Algorithmic Trading applies machine learning to financial market monitoring;
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Change in Computational Finance: Data Science, Machine Learning and Algorithmic Trading applies machine learning to financial market monitoring;
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networks and optimization, computational learning theory, knowledge discovery, and data mining, experimental algorithmic methodologies;
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Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to;
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With its intuitive yet rigorous approach to machine learning, this text provides students with the fundamental knowledge and practical;
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