Advanced machine learning algorithms (29 Ergebnisse)

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Paperback. Zustand: New. The advancements in artificial intelligence and machine learning have significantly affected the way financial services are offered and adopted today. Important financial decisions such as investment decision making, macroeconomic analysis, and credit evaluation are becoming more complex within the field of finance. Artificial intelligence and machine learning, with their spectacular success accompanied by unprecedented accuracies, have become increasingly important in the finance world. Advanced Machine Learning Algorithms for Complex Financial Applications provides innovative research on the roles of artificial intelligence and machine learning algorithms in financial sectors with special reference to complex financial applications such as financial risk management in big data environments. In addition, the book addresses broad challenges in both theoretical and application aspects of artificial intelligence in the field of finance. Covering essential topics such as secure transactions, financial monitoring, and data modeling, this reference work is crucial for financial specialists, researchers, academicians, scholars, practitioners, instructors, and students.…

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Paperback. Zustand: New. The advancements in artificial intelligence and machine learning have significantly affected the way financial services are offered and adopted today. Important financial decisions such as investment decision making, macroeconomic analysis, and credit evaluation are becoming more complex within the field of finance. Artificial intelligence and machine learning, with their spectacular success accompanied by unprecedented accuracies, have become increasingly important in the finance world. Advanced Machine Learning Algorithms for Complex Financial Applications provides innovative research on the roles of artificial intelligence and machine learning algorithms in financial sectors with special reference to complex financial applications such as financial risk management in big data environments. In addition, the book addresses broad challenges in both theoretical and application aspects of artificial intelligence in the field of finance. Covering essential topics such as secure transactions, financial monitoring, and data modeling, this reference work is crucial for financial specialists, researchers, academicians, scholars, practitioners, instructors, and students.…

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Gebundene Ausgabe. Zustand: Neu. The advancements in artificial intelligence and machine learning have significantly affected the way financial services are offered and adopted today. Important financial decisions such as investment decision making, macroeconomic analysis, and credit evaluation are becoming more complex within the field of finance. Artificial intelligence and machine learning, with their spectacular success accompanied by unprecedented accuracies, have become increasingly important in the finance world. Advanced Machine Learning Algorithms for Complex Financial Applications provides innovative research on the roles of artificial intelligence and machine learning algorithms in financial sectors with special reference to complex financial applications such as financial risk management in big data environments. In addition, the book addresses broad challenges in both theoretical and application aspects of artificial intelligence in the field of finance. Covering essential topics such as secure transactions, financial monitoring, and data modeling, this reference work is crucial for financial specialists, researchers, academicians, scholars, practitioners, instructors, and students. Sprache: Englisch Gewicht in Gramm: 744.…

paperback. Zustand: New. Language:Chinese.Paperback. Pub Date: 2022-11-01 Publisher: Mechanical Industry Press This book builds a bridge between understanding how algorithms work and how to better tune models. This book will help you develop the skills to develop major machine learning models. including supervised and unsupervised learning (including linear/contrast regression). decision trees. random forests. gradient boosting machines (GBM). neural networks. k-means clustering . principal component analysis and rec. …

paperback. Zustand: New. Paperback. Pub Date: 2020-01-01 Pages: 370 Language: Chinese Publisher: Machinery Industry Press in-depth understanding XGBoost: efficient machine learning algorithms and advanced machine-learning knowledge will certainly pave the way for in-depth analysis of the principle XGBoost. distributed implementation. the depth of application. model selection and optimization. The first .…