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methods extract rules and patterns out of massive data sets. The major focus of machine learning research is to extract information from data;
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This book disseminates and promotes the recent research progress and frontier development on AutoML and meta-learning as well as their;
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Every day, someone is putting down a book on machine learning and giving up on learning about this revolutionary topic. How many of them;
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learning for health informatics; they discuss open problems and future challenges in order to stimulate further research and international progress;
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Adversarial Robustness for Machine Learning summarizes the recent progress on this topic and introduces popular algorithms on;
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interdisciplinary research in machine learning and physics has been expanding dramatically. This book is written for anyone who wants to learn, understand;
Vergelijkbare producten zoals Deep Learning and Physics
interdisciplinary research in machine learning and physics has been expanding dramatically. This book is written for anyone who wants to learn, understand;
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Every day, someone is putting down a book on machine learning and giving up on learning about this revolutionary topic. How many of them;
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This second volume defines possible areas of joint research in artificial intelligence and machine learning. It uses knowledge from the;
Vergelijkbare producten zoals Computational Learning Theory & Natural Learning Systems V 2 - Intersections Between Theory & Experiment
This book presents high-quality papers from an international forum for research on computational approaches to learning. It includes;
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of operation. The editors and contributors also cover the fundamental concepts of IoT and machine learning, including the latest research;
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The integration of machine learning techniques and cartoon animation research is fast becoming a hot topic. This book helps readers learn;
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play as a research method in the marketing field. The fundamental goal of machine learning is to generalize beyond the examples provided by;
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of machine/deep learning in the professional realm. Machine Learning and Deep Learning in Real-Time Applications provides emerging research;
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identified huge scope in applying machine learning techniques for gaining meaningful insights. Random growth of unstructured data poses new research;
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Machine Learning Applications (ICCCMLA 2020), held in August, 2020 at Goa, India. It covers the latest research trends or developments in areas;
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This edited collection describes recent progress on lazy learning, a branch of machine learning concerning algorithms that defer the;
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This edited collection describes recent progress on lazy learning, a branch of machine learning concerning algorithms that defer the;
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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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Machine Learning: Concepts, Methodologies, Tools, and Applications offers a wide-ranging selection of key research in a complex field;
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platform in which they can keep up with machine learning trends and their developments in the real world. The Handbook of Research on;
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Machine learning is the study of building computer programs that improve their performance through experience. To meet the challenge;
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prediction/classification Cost-Sensitive Machine Learning is one of the first books to provide an overview of the current research;
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prediction/classification Cost-Sensitive Machine Learning is one of the first books to provide an overview of the current research;
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Quantum Machine Learning bridges the gap between abstract developments in quantum computing and the applied research on machine learning;
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The book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information;
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cover current research in machine learning, big data, Internet of Things, biomedical engineering, fuzzy logic, security, and intelligence swarms;
Vergelijkbare producten zoals The International Conference on Advanced Machine Learning Technologies and Applications (Amlta2018)
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