Контакты/Проезд  Доставка и Оплата Помощь/Возврат
История
  +7 707 857-29-98
  +7(7172) 65-23-70
  10:00-18:00 пн-пт
  shop@logobook.kz
   
    Поиск книг                        
Найти
  Зарубежные издательства Российские издательства  
Авторы | Каталог книг | Издательства | Новинки | Учебная литература | Акции | Бестселлеры | |
 

Machine Learning in Medicine - a Complete Overview, Ton J. Cleophas; Aeilko H. Zwinderman


Варианты приобретения
Цена: 83850.00T
Кол-во:
Наличие: Поставка под заказ.  Есть в наличии на складе поставщика.
Склад Америка: 240 шт.  
При оформлении заказа до: 2025-07-28
Ориентировочная дата поставки: Август-начало Сентября
При условии наличия книги у поставщика.

Добавить в корзину
в Мои желания

Автор: Ton J. Cleophas; Aeilko H. Zwinderman
Название:  Machine Learning in Medicine - a Complete Overview
ISBN: 9783319386386
Издательство: Springer
Классификация:


ISBN-10: 3319386387
Обложка/Формат: Paperback
Страницы: 516
Вес: 0.75 кг.
Дата издания: 09.10.2016
Язык: English
Издание: Softcover reprint of
Иллюстрации: 250 tables, black and white; 159 illustrations, black and white; xxiv, 516 p. 159 illus.
Размер: 234 x 156 x 28
Читательская аудитория: Professional & vocational
Основная тема: Biomedicine
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: Adequate health and health care will, however, soon be impossible without proper data supervision from modern machine learning methodologies like cluster models, neural networks and other data mining methodologies.Each chapter starts with purposes and scientific questions.

Machine Learning

Автор: Kevin Murphy
Название: Machine Learning
ISBN: 0262018020 ISBN-13(EAN): 9780262018029
Издательство: MIT Press
Рейтинг:
Цена: 124150.00 T
Наличие на складе: Невозможна поставка.
Описание:

A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach.

Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.

The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package -- PMTK (probabilistic modeling toolkit) -- that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.


Evidence-Based Medicine, 4th Edition

Автор: Sharon E. Straus
Название: Evidence-Based Medicine, 4th Edition
ISBN: 0702031275 ISBN-13(EAN): 9780702031274
Издательство: Elsevier Science
Рейтинг:
Цена: 43220.00 T
Наличие на складе: Поставка под заказ.
Описание: Provides an explanation of the central questions: how to ask answerable clinical questions; how to translate them into effective searches for the best evidence; how to critically appraise that evidence for its validity and importance; and, how to integrate it with patients` values and preferences.

Handbook of Behavioral Medicine

Автор: Steptoe, Andrew
Название: Handbook of Behavioral Medicine
ISBN: 1441964835 ISBN-13(EAN): 9781441964830
Издательство: Springer
Рейтинг:
Цена: 167700.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This handbook provides an up-to-date survey of methods and applications across the broad range of behavioral medicine research and practice. It is based on cutting-edge methodologies and applications that are relevant across different medical conditions.

Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies

Автор: Kelleher John D., Macnamee Brian, D`Arcy Aoife
Название: Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies
ISBN: 0262029448 ISBN-13(EAN): 9780262029445
Издательство: MIT Press
Рейтинг:
Цена: 90290.00 T
Наличие на складе: Нет в наличии.
Описание:

A comprehensive introduction to the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications.

Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Technical and mathematical material is augmented with explanatory worked examples, and case studies illustrate the application of these models in the broader business context.

After discussing the trajectory from data to insight to decision, the book describes four approaches to machine learning: information-based learning, similarity-based learning, probability-based learning, and error-based learning. Each of these approaches is introduced by a nontechnical explanation of the underlying concept, followed by mathematical models and algorithms illustrated by detailed worked examples. Finally, the book considers techniques for evaluating prediction models and offers two case studies that describe specific data analytics projects through each phase of development, from formulating the business problem to implementation of the analytics solution. The book, informed by the authors' many years of teaching machine learning, and working on predictive data analytics projects, is suitable for use by undergraduates in computer science, engineering, mathematics, or statistics; by graduate students in disciplines with applications for predictive data analytics; and as a reference for professionals.


Bayesian Reasoning and Machine Learning

Автор: Barber
Название: Bayesian Reasoning and Machine Learning
ISBN: 0521518148 ISBN-13(EAN): 9780521518147
Издательство: Cambridge Academ
Рейтинг:
Цена: 73920.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This practical introduction for final-year undergraduate and graduate students is ideally suited to computer scientists without a background in calculus and linear algebra. Numerous examples and exercises are provided. Additional resources available online and in the comprehensive software package include computer code, demos and teaching materials for instructors.

Machine Learning in Medicine - Cookbook

Автор: Cleophas
Название: Machine Learning in Medicine - Cookbook
ISBN: 3319041800 ISBN-13(EAN): 9783319041803
Издательство: Springer
Рейтинг:
Цена: 46570.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This timely guide explains how to derive the most benefit from automatically mining the vast, and growing, quantities of information in medical databases. It lays out the fruits of the authors` expertise in a condensed, easily consulted format.

Machine Learning in Medicine

Автор: Ton J. Cleophas; Aeilko H. Zwinderman
Название: Machine Learning in Medicine
ISBN: 9400795122 ISBN-13(EAN): 9789400795129
Издательство: Springer
Рейтинг:
Цена: 65290.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This second of a two-volume work includes coverage of various clustering models, support vector machines, Bayesian networks, discrete wavelet analysis, genetic programming, association rule learning, anomaly detection and correspondence analysis.

Machine Learning in Medicine - Cookbook Three

Автор: Ton J. Cleophas; Aeilko H. Zwinderman
Название: Machine Learning in Medicine - Cookbook Three
ISBN: 3319121626 ISBN-13(EAN): 9783319121628
Издательство: Springer
Рейтинг:
Цена: 56590.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Unique features of the book involve the following.1.This book is the third volume of a three volume series of cookbooks entitled "Machine Learning in Medicine - Cookbooks One, Two, and Three".

Machine Learning in Medicine

Автор: Cleophas
Название: Machine Learning in Medicine
ISBN: 9400778686 ISBN-13(EAN): 9789400778689
Издательство: Springer
Рейтинг:
Цена: 83850.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Offering sequenced guidance for non-specialists on how to reap the benefits of machine learning in medicine and healthcare, this text harnesses the power of cutting-edge computing to maximize the accessibility and analytic value of stored data and records.

Machine Learning in Medicine

Автор: Cleophas Ton J
Название: Machine Learning in Medicine
ISBN: 9400758235 ISBN-13(EAN): 9789400758230
Издательство: Springer
Цена: 83850.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Preface.- 1 Introduction to machine learning.- 2 Logistic regression for health profiling.- 3 Optimal scaling: discretization.- 4 Optimal scaling: regularization including ridge, lasso, and elastic net regression.- 5 Partial correlations.- 6 Mixed linear modelling.- 7 Binary partitioning.- 8 Item response modelling.- 9 Time-dependent predictor modelling.- 10 Seasonality assessments.- 11 Non-linear modelling.- 12 Artificial intelligence, multilayer Perceptron modelling.- 13 Artificial intelligence, radial basis function modelling.- 14 Factor analysis.- 15 Hierarchical cluster analysis for unsupervised data.- 16 Partial least squares.- 17 Discriminant analysis for Supervised data.- 18 Canonical regression.- 19 Fuzzy modelling.- 20 Conclusions. Index.


Machine Learning in Medicine

Автор: Ton J. Cleophas; Aeilko H. Zwinderman
Название: Machine Learning in Medicine
ISBN: 9400793634 ISBN-13(EAN): 9789400793637
Издательство: Springer
Рейтинг:
Цена: 65290.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This handy guide will help clinicians with computationally intensive methods, like factor analysis, cluster analysis, and discriminant analysis. It includes step by step data analyses in SPSS.

Machine Learning in Medicine

Автор: Ton J. Cleophas; Aeilko H. Zwinderman
Название: Machine Learning in Medicine
ISBN: 9400768850 ISBN-13(EAN): 9789400768857
Издательство: Springer
Рейтинг:
Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This second of a two-volume work includes coverage of various clustering models, support vector machines, Bayesian networks, discrete wavelet analysis, genetic programming, association rule learning, anomaly detection and correspondence analysis.


Казахстан, 010000 г. Астана, проспект Туран 43/5, НП2 (офис 2)
ТОО "Логобук" Тел:+7 707 857-29-98 ,+7(7172) 65-23-70 www.logobook.kz
Kaspi QR
   В Контакте     В Контакте Мед  Мобильная версия