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Get to know the 'why' and 'how' of machine learning and big data in quantitative investment Big Data and Machine Learning;
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investor, including expanded problems on Machine Learning algorithms and the role of Big Data in investment contexts. Well suited for motivated;
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information you need to be a confident and knowledgeable investor. This edition expands coverage to Machine Learning algorithms and the role of Big;
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you need to be a confident and knowledgeable investor. This edition expands coverage of Machine Learning algorithms and the role of Big Data;
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This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered;
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This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2021) is intended to be used as a reference book for;
Vergelijkbare producten zoals Machine Learning and Big Data Analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021)
in investment management and derivative modeling. The second part presents supervised learning for time series data, arguably the most common data type;
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in investment management and derivative modeling. The second part presents supervised learning for time series data, arguably the most common data type;
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Machine Learning, Big Data, and IoT for Medical Informatics focuses on the latest techniques adopted in the field of medical informatics;
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Learn to understand and implement the latest machine learning innovations to improve your investment performance Machine learning (ML;
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Present book covers new paradigms in Blockchain, Big Data and Machine Learning concepts including applications and case studies. It;
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This book constitutes revised selected papers from the First International Workshop on Machine Learning, Optimization, and Big Data, MOD;
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This book covers selected high-quality research papers presented at the International Conference on Big Data, Machine Learning, and;
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This book gathers a collection of high-quality peer-reviewed research papers presented at the International Conference on Big Data, IoT and;
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market data available. Financial Signal Processing and Machine Learning unifies a number of recent advances made in signal processing and;
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submissions.The papers are organized in two parts: visual data engineering; and big data and machine learning. They cover a large range of topics;
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of this book is to provide awareness of algorithms used for machine learning and big data in the academic and professional community. The 17;
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This book constitutes refereed proceedings of the First International First International Conference on Big Data, Machine Learning, and;
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This book contains high-quality peer-reviewed papers of the International Conference on Big Data, Machine Learning and their Applications;
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for researchers and doctoral students in data analysis, Semantic Web, big data, machine learning, computer engineering and related disciplines;
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This book constitutes revised selected papers from the Second International Workshop on Machine Learning, Optimization, and Big Data, MOD;
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alternate therapies, drugs, and diagnostic tools. Signal Processing and Machine Learning for Biomedical Big Data thus discusses modalities; the;
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This book presents the proceedings of the 2020 2nd International Conference on Machine Learning and Big Data Analytics for IoT Security and;
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the vast quantities of data. In Cloud and Big Data Analytics, the two areas of Swarm Intelligence and Deep Learning are a developing type;
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field of computer science with a special focus on the machine learning and big data. The book focuses on advanced topics in artificial;
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Working with big data can be complex and challenging, in part because of the multiple analysis frameworks and tools required;
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. Crafting an enterprise-scale cost-efficient Big Data and machine learning solution to uncover insights and value from your organization's data is a;
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