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OverviewFull Product DetailsAuthor: Shuai Huang , Houtao DengPublisher: Taylor & Francis Ltd Imprint: Chapman & Hall/CRC Weight: 0.961kg ISBN: 9780367609504ISBN 10: 0367609509 Pages: 257 Publication Date: 20 April 2021 Audience: College/higher education , Tertiary & Higher Education Format: Hardback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsReviews"""Another strength of the book is that the authors cover the regression methods comprehensively, starting from the relationship between variables, to the connections between methods. As a result, this book may be an introductory guide for health care professionals, students, and lecturers, both by showing the exercises with manual solutions and giving the R coding of the methods."" -Selen Yilmaz Isikhan in ISCB, September 2022" Another strength of the book is that the authors cover the regression methods comprehensively, starting from the relationship between variables, to the connections between methods. As a result, this book may be an introductory guide for health care professionals, students, and lecturers, both by showing the exercises with manual solutions and giving the R coding of the methods. -Selen Yilmaz Isikhan in ISCB , September 2022 Author InformationShuai Huang is an associate professor at the department of industrial & systems engineering at the university of Washington. He conducts interdisciplinary research in machine learning, data analytics, and applied operations research with applications on healthcare, manufacturing, and transportation areas. Houtao Deng is a data science researcher and practitioner. He developed several new decision tree methods such as inTrees. He has built data-driven products for forecasting, scheduling, pricing, recommendation, fraud detection, and image recognition. Tab Content 6Author Website:Countries AvailableAll regions |