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【簡體曬書節】 單本79折,5本7折,優惠只到5/31,點擊此處看更多!

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347筆商品,4/18頁
Statistical Learning for Biomedical Data
作者:James D. Malley  出版社:Cambridge Univ Pr  出版日:2011/03/28 裝訂:精裝
This book is for anyone who has biomedical data and needs to identify variables that predict an outcome, for two-group outcomes such as tumor/not-tumor, survival/death, or response from treatment. Statistical learning machines are ideally suited to these types of prediction problems, especially if the variables being studied may not meet the assumptions of traditional techniques. Learning machines come from the world of probability and computer science but are not yet widely used in biomedical research. This introduction brings learning machine techniques to the biomedical world in an accessible way, explaining the underlying principles in nontechnical language and using extensive examples and figures. The authors connect these new methods to familiar techniques by showing how to use the learning machine models to generate smaller, more easily interpretable traditional models. Coverage includes single decision trees, multiple-tree techniques such as Random Forests™, neural nets, suppor
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Training Data for Machine Learning: Human Supervision from Annotation to Data Science
滿額折
作者:Anthony Sarkis  出版社:OREILLY MEDIA  出版日:2023/12/19 裝訂:平裝
定價:2310 元, 優惠價:1 2310
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Machine Learning and Artificial Intelligence with Industrial Applications: From Big Data to Small Data
作者:Diego Carou(EDI)  出版社:Springer Nature  出版日:2023/03/12 裝訂:平裝
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Machine Learning and Artificial Intelligence with Industrial Applications: From Big Data to Small Data
作者:Diego Carou(EDI)  出版社:Springer Nature  出版日:2022/04/19 裝訂:精裝
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Hands-on Unsupervised Learning Using Python ― How to Build Applied Machine Learning Solutions from Unlabeled Data
滿額折
作者:Ankur A. Patel  出版社:Oreilly & Associates Inc  出版日:2019/03/25 裝訂:平裝
Many industry experts consider unsupervised learning the next AI frontier, one that may hold the key to general artificial intelligence. Armed with the conceptual knowledge in this book, data scientis
定價:2800 元, 優惠價:1 2800
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Drawing Inferences From Statistical Data
滿額折
作者:Macrae  出版社:John Wiley & Sons Inc  出版日:1994/01/29 裝訂:平裝
Open Learning Units offer a very flexible approach to the teaching of psychology. They are designed to be more than sufficient for the purposes of A/S and A-Level psychology, and the applied emphasis
定價:1757 元, 優惠價:9 1581
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Data Science and Big Data Analytics: A Step by Step Guide to learn data science from Scratch with Python Machine Learning and Big Data
滿額折
作者:Andrew Park  出版社:Lightning Source Inc  出版日:2021/02/12 裝訂:精裝
定價:1224 元, 優惠價:1 1224
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Data Science and Big Data Analytics: A Step by Step Guide to learn data science from Scratch with Python Machine Learning and Big Data
滿額折
作者:Andrew Park  出版社:Lightning Source Inc  出版日:2021/02/12 裝訂:精裝
定價:1154 元, 優惠價:1 1154
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Data Science and Big Data Analytics: A Step by Step Guide to learn data science from Scratch with Python Machine Learning and Big Data
滿額折
作者:Andrew Park  出版社:Lightning Source Inc  出版日:2021/02/12 裝訂:平裝
定價:874 元, 優惠價:1 874
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Data Science and Big Data Analytics: A Step by Step Guide to learn data science from Scratch with Python Machine Learning and Big Data
滿額折
作者:Andrew Park  出版社:Lightning Source Inc  出版日:2021/02/12 裝訂:平裝
定價:804 元, 優惠價:1 804
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Data Science on the Google Cloud Platform: Implementing End-To-End Real-Time Data Pipelines: From Ingest to Machine Learning
滿額折
作者:Valliappa Lakshmanan  出版社:OREILLY MEDIA  出版日:2022/05/17 裝訂:平裝
定價:2800 元, 優惠價:1 2800
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Data Mining With R—Learning by Case Studies
90折
作者:Luis Torgo  出版社:Taylor & Francis  出版日:2010/11/09 裝訂:精裝
The versatile capabilities and large set of add-on packages make R an excellent alternative to many existing and often expensive data mining tools. Exploring this area from the perspective of a practi
定價:3358 元, 優惠價:9 3022
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Methods for Analyzing and Leveraging Online Learning Data
作者:Shalin Hai-jew  出版社:Information Science Reference  出版日:2018/10/05 裝訂:精裝
"This book helps lay the groundwork for how to use the large amounts of available data from the myriad online learning systems. Its approach of looking at online learning data will advance the field o
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02-25006600[分機130、131]。
Data Mining and Machine Learning ― Fundamental Concepts and Algorithms
90折
作者:Mohammed J. Zaki  出版社:Cambridge Univ Pr  出版日:2020/02/29 裝訂:精裝
The fundamental algorithms in data mining and machine learning form the basis of data science, utilizing automated methods to analyze patterns and models for all kinds of data in applications ranging from scientific discovery to business analytics. This textbook for senior undergraduate and graduate courses provides a comprehensive, in-depth overview of data mining, machine learning and statistics, offering solid guidance for students, researchers, and practitioners. The book lays the foundations of data analysis, pattern mining, clustering, classification and regression, with a focus on the algorithms and the underlying algebraic, geometric, and probabilistic concepts. New to this second edition is an entire part devoted to regression methods, including neural networks and deep learning.
定價:3653 元, 優惠價:9 3288
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Transforming Teaching and Learning Through Data-Driven Decision Making
作者:Ellen Beth Mandinach; Sharnell S. Jackson  出版社:SAGE Publications UK  出版日:2012/04/10 裝訂:平裝
Drawing from educational psychology, Mandinach, an educational psychologist and research scientist who specializes in data-driven decision making in education, and Jackson, a former teacher, principal
定價:1933 元, 優惠價:1 1933
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The Statistical Physics of Data Assimilation and Machine Learning
滿額折
作者:Henry D. I. Abarbanel  出版社:Cambridge Univ Pr  出版日:2022/02/28 裝訂:精裝
Data assimilation is a hugely important mathematical technique, relevant in fields as diverse as geophysics, data science, and neuroscience. This modern book provides an authoritative treatment of the field as it relates to several scientific disciplines, with a particular emphasis on recent developments from machine learning and its role in the optimisation of data assimilation. Underlying theory from statistical physics, such as path integrals and Monte Carlo methods, are developed in the text as a basis for data assimilation, and the author then explores examples from current multidisciplinary research such as the modelling of shallow water systems, ocean dynamics, and neuronal dynamics in the avian brain. The theory of data assimilation and machine learning is introduced in an accessible and unified manner, and the book is suitable for undergraduate and graduate students from science and engineering without specialized experience of statistical physics.
定價:3574 元, 優惠價:9 3217
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Using Curriculum Mapping & Assessment Data to Improve Learning
作者:Bena Kallick; Jeff Colosimo; Heidi Hayes Jacobs (FRW)  出版社:Corwin Pr  出版日:2008/07/03 裝訂:平裝
Data experts provide detailed guidelines on analyzing information from curriculum maps and assessments, making decisions based on data, and changing school culture to enhance learning outcomes.
定價:1438 元, 優惠價:1 1438
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Translating Data into Information to Improve Teaching and Learning
作者:Bernhardt; Victoria L  出版社:Routledge UK  出版日:2016/02/01 裝訂:精裝
Here it is ... the latest from best-selling author Victoria Bernhardt. This book helps educators think through the selection of the data elements and data tools needed to support quality decisions for
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Machine Learning with the Elastic Stack - Second Edition: Gain valuable insights from your data with Elastic Stack's machine learning features
作者:Rich Collier  出版社:PACKT PUB  出版日:2021/05/28 裝訂:平裝
定價:2584 元, 優惠價:1 2584
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Machine Learning with Python & Data Science from Scratch: Complete guide to Learning Data Science Process & What YOU NEED To Know about Machine Learni
滿額折
作者:David Park  出版社:Lightning Source Inc  出版日:2021/02/23 裝訂:平裝
定價:1050 元, 優惠價:1 1050
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