Описание: Exploratory data analysis (EDA) is about detecting and describing patterns, trends, and relations in data, motivated by certain purposes of investigation.
Автор: Husson, Francois Le, Sebastien Pages, Jerome Название: Exploratory multivariate analysis by example using r ISBN: 036765802X ISBN-13(EAN): 9780367658021 Издательство: Taylor&Francis Рейтинг: Цена: 7654.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Exploratory Multivariate Analysis by Example Using R, Second Edition focuses on four fundamental methods of multivariate exploratory data analysis that are most suitable for applications. It covers principal component analysis (PCA) when variables are quantitative, correspondence analysis (CA) and multiple correspondence analysis.
Описание: This book focuses on automated analytical techniques for healthcare applications used to extract knowledge from a large amount of data. It brings together a variety of different aspects of the healthcare system and aids in the decision-making processes for healthcare professionals.
Автор: Singh, Sanjay Kumar Название: Iot Based Data Analytics For The Healthcare Industry ISBN: 0128214724 ISBN-13(EAN): 9780128214725 Издательство: Elsevier Science Рейтинг: Цена: 16505.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
IoT Based Data Analytics for the Healthcare Industry: Techniques and Applications explores recent advances in the analysis of healthcare industry data through IoT data analytics. The book covers the analysis of ubiquitous data generated by the healthcare industry, from a wide range of sources, including patients, doctors, hospitals, and health insurance companies. The book provides AI solutions and support for healthcare industry end-users who need to analyze and manipulate this vast amount of data. These solutions feature deep learning and a wide range of intelligent methods, including simulated annealing, tabu search, genetic algorithm, ant colony optimization, and particle swarm optimization.
The book also explores challenges, opportunities, and future research directions, and discusses the data collection and pre-processing stages, challenges and issues in data collection, data handling, and data collection set-up. Healthcare industry data or streaming data generated by ubiquitous sensors cocooned into the IoT requires advanced analytics to transform data into information. With advances in computing power, communications, and techniques for data acquisition, the need for advanced data analytics is in high demand.
Автор: Cleff Thomas Название: Exploratory Data Analysis in Business and Economics ISBN: 3319015168 ISBN-13(EAN): 9783319015163 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Exploratory Data Analysis in Business and Economics
Автор: Wesam Ashour Barbakh; Ying Wu; Colin Fyfe Название: Non-Standard Parameter Adaptation for Exploratory Data Analysis ISBN: 3642040047 ISBN-13(EAN): 9783642040047 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A review of standard algorithms provides the basis for more complex data mining techniques in this overview of exploratory data analysis. Recent reinforcement learning research is presented, as well as novel methods of parameter adaptation in machine learning.
Автор: L.D. Edwards; Andrea A. DiSessa; Celia Hoyles; Ric Название: Computers and Exploratory Learning ISBN: 3642633595 ISBN-13(EAN): 9783642633591 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Proceedings of the NATO Advanced Research Workshop on the Design of Computational Media to Support Learning, held, at the Asilomar Conference Center, Pacific Grove, California, October 3 - 7, 1993
Автор: Anand J. Kulkarni; Patrick Siarry; Pramod Kumar Si Название: Big Data Analytics in Healthcare ISBN: 3030316718 ISBN-13(EAN): 9783030316716 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book includes state-of-the-art discussions on various issues and aspects of the implementation, testing, validation, and application of big data in the context of healthcare.
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