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Machine Learning Approaches and Applications in Applied Intelligence for Healthcare Data Analytics
In the last two decades, machine learning has developed dramatically and is still experiencing a fast and everlasting change in paradigms, methodology, applications and other aspects. This book offers a compendium of current and emerging machine learning paradigms in healthcare informatics and reflects on their diversity and complexity. Machine Learning Approaches and Applications in Applied Intelligence for Healthcare Data Analytics presents a variety of techniques designed to enhance and empower multi-disciplinary and multi-institutional machine learning research. It provides many case studies and a panoramic view of data and machine learning techniques, providing the opportunity for novel insights and discoveries. The book explores the theory and practical applications in healthcare and includes a guided tour of machine learning algorithms, architecture design and interdisciplinary challenges. This book is useful for research scholars and students involved in critical condition analysis and computation models.
Phenology
On the timing of seasonal activity in plants and animals, the impact of climate change, and what each of us, as everyday phenologists, can do to help. Phenology is all about timing—when trees leaf out, flowers bloom, birds migrate, animals bear young and hibernate—and it is everywhere around us. This handy companionable volume shows how we are all phenologists in our own way, and how the everyday science can help us make sense of the changing seasons and our changing world. Explaining how the phenomenon of phenology is threaded through our daily lives, Theresa Crimmins points to events that occur on an annual basis in plants’ and animals’ lives in response to fluctuations in daylengt...
Active Statistics
This book provides statistics instructors and students with complete classroom material for a one- or two-semester course on applied regression and causal inference. It is built around 52 stories, 52 class-participation activities, 52 hands-on computer demonstrations, and 52 discussion problems that allow instructors and students to explore in a fun way the real-world complexity of the subject. The book fosters an engaging 'flipped classroom' environment with a focus on visualization and understanding. The book provides instructors with frameworks for self-study or for structuring the course, along with tips for maintaining student engagement at all levels, and practice exam questions to help guide learning. Designed to accompany the authors' previous textbook Regression and Other Stories, its modular nature and wealth of material allow this book to be adapted to different courses and texts or be used by learners as a hands-on workbook.
Proceedings of the 2022 International Conference on Mathematical Statistics and Economic Analysis (MSEA 2022)
This is an open access book. 2022 International Conference on Mathematical Statistics and Economic Analysis(MSEA 2022) will be held in Dalian, China from May 27 to 29, 2022. Based on probability theory, mathematical statistics studies the statistical regularity of a large number of random phenomena, and infers and forecasts the whole. Economic development is very important to people's life and the country. Through data statistics and analysis, we can quickly understand the law of economic development. This conference combines mathematical statistics and economic analysis for the first time to explore the relationship between them, so as to provide a platform for experts and scholars in the field of mathematical statistics and economic analysis to exchange and discuss.
Dynastic Crisis and Cultural Innovation
'Dynastic Crisis and Cultural Innovation' addresses cultural and literary transformation in the late Ming (1550-1644) and late Qing (1851-1911) eras.
金文文獻集成: 現代文獻 : 日文論著
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