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Book Memo: “A Machine Learning Model for Improving Healthcare on Cloud...
Recently, cloud computing gained an important role in healthcare services due to its ability to improve the healthcare performance. However, the optimal selection of virtual machines to process a...
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Book Memo: “Learning Chaos Engineering”
Discovering and Overcoming System Weaknesses Through Experimentation Most companies work hard to avoid costly failures, but in complex systems a better approach is to embrace and learn from them....
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Book Memo: “Statistical Learning of Complex Data”
This book of peer-reviewed contributions presents the latest findings in classification, statistical learning, data analysis and related areas, including supervised and unsupervised classification,...
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Book Memo: “Building Intelligent Cloud Applications”
Develop Scalable Models Using Serverless Architectures with Azure Serverless computing is radically changing the way we build and deploy applications. With cloud providers running servers and managing...
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Book Memo: “Discrepancy Theory”
The contributions in this book focus on a variety of topics related to discrepancy theory, comprising Fourier techniques to analyze discrepancy, low discrepancy point sets for quasi-Monte Carlo...
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Book Memo: “Neural Networks and Statistical Learning”
2nd edition This book provides a broad yet detailed introduction to neural networks and machine learning in a statistical framework. A single, comprehensive resource for study and further research, it...
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Book Memo: “Machine Learning and Artificial Intelligence”
This book provides comprehensive coverage of combined Artificial Intelligence (AI) and Machine Learning (ML) theory and applications. Rather than looking at the field from only a theoretical or only a...
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Book Memo: “Practical Time Series Analysis”
Prediction with Statistics and Machine Learning Time series data analysis is increasingly important due to the massive production of such data through the internet of things, the digitalization of...
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Book Memo: “Information-theoretic causal inference of lexical flow”
This volume seeks to infer large phylogenetic networks from phonetically encoded lexical data and contribute in this way to the historical study of language varieties. The technical step that enables...
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