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This book describes the important ideas in a variety of fields such as medicine, biology, finance, and marketing in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of colour graphics. It is a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning.   The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book. This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorisation, and spectral clustering. There is also a chapter on methods for "wide'' data (p bigger than n), including multi

The Elements Of Statistical Learning

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Elements of Statistical Learning

The Elements of Statistical Learning: Data Mining, Inference, and Prediction...

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Wordery

The Elements of Statistical Learning : Springer : 9780387848570 : 0387848576 : 09 Feb 2009 : This book describes the important ideas in a variety of fields such as medicine, biology, finance, and marketing in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of colour graphics. It is a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book.  This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorisation, and spectral cluste

The Elements of Statistical Learning 9780387848570 (Hardback)

AbeBooks.co.uk

The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd edition

Fundamentals of Educational Measurement with the Elements of Statistical Method : MJP Publishers : 9789390877034 : 01 May 2022 : Introduction, Efficient through measurements, The Measurement of intelligence, The measurement of intelligencecontinued The extension and revision of the binet scale and other measures of intelligence, The need for definite measurements of school achievements, The classification of school achievement tests and the fundamental principles for designing them, Scoring the tests and treatment of the measures, The measurement of educational processes and products in five fields of public school work, Educational statistics, General statement, The measurement of central tendency, or averages, Measurement of Dispersion, or variability, The measurement of relationship, or correlation,

Fundamentals of Educational Measurement with the Elements of Statistical Method

Statistical Games and Human Affairs : Cambridge University Press : 9780521123419 : 0521123410 : 26 Nov 2009 : This book was first published in 1989. Inference and prediction in human affairs are characterised by a cognitive and reactive sample space, the elements of which are aware both of the statistician and of each other. It is therefore not surprising that methodologies borrowed from classical statistics and the physical sciences have yielded disappointingly few lasting empirical insights and have sometimes failed in predictive mode. This book puts the underlying methodology of socioeconomic statistics on a firmer footing by placing it within the ambit of inferential and predictive games. It covers such problems as learning, publication, non-response, strategic response, the nature and possibility of rational expectations, time inconsistency, intrinsic nonstationarity, and the existence of probabilities. Ideas are introduced such as real-time survey schemes, argument instability an

Statistical Games and Human Affairs By Roger J. Bowden 9780521123419

Facets of Behaviormetrics : Springer : 9789819922390 : 9819922399 : 17 Aug 2023 : This edited book is the first one written in English that deals comprehensively with behavior metrics. The term "behaviormetrics" comprehends the research including all sorts of quantitative approaches to disclose human behavior. Researchers in behavior metrics have developed, extended, and improved methods such as multivariate statistical analysis, survey methods, cluster analysis, machine learning, multidimensional scaling, corresponding analysis or quantification theory, network analysis, clustering, factor analysis, test theory, and related factors. In the spirit of behavior metrics, researchers applied these methods to data obtained by surveys, experiments, or websites from a diverse range of fields.   The purpose of this book is twofold. One is to represent studies that display how the basic elements of behavior metrics have developed into present-day behavior metrics. The other is to represent stud

Facets of Behaviormetrics 9789819922390 (Hardback)

New Frontiers in Artificial Intelligence : Murphy & Moore Publishing : 9781639873869 : 1639873864 : 20 Sep 2022 : The simulation of human intelligence in machines which are programmed to think and act like humans is referred to as artificial intelligence. It is based on the proposition that the natural intelligence displayed by humans and animals, that encompasses the elements of consciousness and emotions, can be defined in a way such that machines can mimic it. The major approaches which govern the development of artificial intelligence are cybernetics and brain simulation, sub-symbolic, symbolic, and statistical approaches. Artificial intelligence finds widespread application for a variety of purposes such as self-driving cars, medical diagnosis, image recognition, search engines, energy storage and online advertising. Some of the common challenges associated with this field are reasoning, planning, learning, knowledge representation, perception, natural language processing, social 

New Frontiers in Artificial Intelligence By Rogerson 9781639873869

ICP-MS and Trace Element Analysis as Tools for Better Understanding Medical Conditions : Elsevier : 9780444643476 : 0444643478 : 12 May 2022 : ICP-MS and Trace Element Analysis as Tools for Better Understanding Medical Conditions, Volume 97 discusses trace elements and how they play an important role in biological functions and metabolism in the human body. Chapters cover Biomedical analysis by ICP-MS: A focus on single cell, Advanced statistical tools and machine learning applied to trace element analysis associated with medical conditions, ICP-MS as a tool to understand trace element homeostasis in neurological disorders, High-precision isotopic analysis of essential mineral elements ? possibilities for medical diagnosis and prognosis, Exploring ICP-MS as a versatile technique: From imaging to chemical speciation, and more. Discusses the latest diagnosis/pathologies using ICP-MS analysis Covers metals, isotopes and metalorganic species for medical conditions Includes ICP-MS-based tec

ICP-MS and Trace Element Analysis as Tools for Better Understanding Medical Conditions

Decision Making Under Uncertainty and Reinforcement Learning : Springer : 9783031108921 : 3031108922 : 07 Dec 2023 : This book presents recent research in decision making under uncertainty, in particular reinforcement learning and learning with expert advice. The core elements of decision theory, Markov decision processes and reinforcement learning have not been previously collected in a concise volume. Our aim with this book was to provide a solid theoretical foundation with elementary proofs of the most important theorems in the field, all collected in one place, and not typically found in introductory textbooks.  This book is addressed to graduate students that are interested in statistical decision making under uncertainty and the foundations of reinforcement learning.  

Decision Making Under Uncertainty and Reinforcement Learning

The Elements of Statistical Learning: Data Mining, Inference, and Prediction (Springer Series in Statistics)

E.M.P.

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Cette paire de chaussettes est à votre image : modeste, elle sait rester discrète et remplit sa mission au quotidien. Conçue pour offrir un confort absolu, elle est l’accessoire essentiel de tout athlète. Pourquoi vous allez l’adorer: Son design minimaliste et sa matière confortable la rendent indispensable. | HOKA Chaussettes de running invisibles en Diva Blue/Citrus Taille S

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