Описание: This book analyzes the development of work teams as work itself changes. It shows that fixed and stable teams are being replaced by fluid forms of constantly changing collaboration across organizational boundaries. This is a big learning challenge and an opportunity for practitioners to redesign their work and organizations.
Автор: Uwe Engel, Anabel Quan-Haase, Sunny Xun Название: Handbook of Computational Social Science, Volume 1 ISBN: 0367456524 ISBN-13(EAN): 9780367456528 Издательство: Taylor&Francis Рейтинг: Цена: 8726.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches.
Автор: Uwe Engel, Anabel Quan-Haase, Sunny Xun Название: Handbook of Computational Social Science, Volume 2 ISBN: 1032077700 ISBN-13(EAN): 9781032077703 Издательство: Taylor&Francis Рейтинг: Цена: 8726.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches.
Автор: Chiao, Joan Название: Philosophy of Computational Neuroscience ISBN: 0367347504 ISBN-13(EAN): 9780367347505 Издательство: Taylor&Francis Рейтинг: Цена: 22202.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book aims to illuminate theoretical and methodological advances in computational cultural neuroscience and the implications of these advances for philosophy.
Описание: Shows how innovation in computer vision methods can markedly lower the costs of using images as data. Introduces readers to deep learning algorithms commonly used for object recognition, facial recognition, and visual sentiment analysis. Provides guidance and instruction for scholars interested in using these methods in their own research.
Описание: Offers researchers and teachers an introduction to clustering, which is a prominent class of unsupervised machine learning for exploring and understanding latent, non-random structure in data. A suite of widely used clustering techniques is covered, in addition to R code and real data to facilitate interaction with the concepts.
Название: Multi-dimensional analysis ISBN: 1350190403 ISBN-13(EAN): 9781350190405 Издательство: Bloomsbury Academic Рейтинг: Цена: 5226.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Multi-Dimensional Analysis: Research Methods and Current Issues provides a comprehensive guide both to the statistical methods in Multi-Dimensional Analysis (MDA) and its key elements, such as corpus building, tagging, and tools. The major goal is to explain the steps involved in the method so that readers may better understand this complex research framework and conduct MD research on their own.
Multi-Dimensional Analysis is a method that allows the researcher to describe different registers (textual varieties defined by their social use) such as academic settings, regional discourse, social media, movies, and pop songs. Through multivariate statistical techniques, MDA identifies complementary correlation groupings of dozens of variables, including variables which belong both to the grammatical and semantic domains. Such groupings are then associated with situational variables of texts like information density, orality, and narrativity to determine linguistic constructs known as dimensions of variation, which provide a scale for the comparison of a large number of texts and registers. This book is a comprehensive research guide to MDA.
Описание: This volume shows that the emergence of computational social science (CSS) is an endogenous response to problems from within the social sciences and not exogeneous.
Описание: The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches.
Автор: Mclevey, John Название: Doing computational social science ISBN: 1526468182 ISBN-13(EAN): 9781526468185 Издательство: Sage Publications Рейтинг: Цена: 5859.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Computational approaches offer exciting opportunities for us to do social science differently. This beginner`s guide discusses a range of computational methods and how to use them to study the problems and questions you want to research.
Автор: Myint Swe Khine Название: Computational Thinking in the STEM Disciplines ISBN: 3030066835 ISBN-13(EAN): 9783030066833 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Поставка под заказ.
Описание: This book covers studies of computational thinking related to linking, infusing, and embedding computational thinking elements to school curricula, teacher education and STEM related subjects. Presenting the distinguished and exemplary works by educators and researchers in the field highlighting the contemporary trends and issues, creative and unique approaches, innovative methods, frameworks, pedagogies and theoretical and practical aspects in computational thinking.A decade ago the notion of computational thinking was introduced by Jeannette Wing and envisioned that computational thinking will be a fundamental skill that complements to reading, writing and arithmetic for everyone and represents a universally applicable attitude. The computational thinking is considered a thought processes involved in a way of solving problems, designing systems, and understanding human behaviour. Assimilating computational thinking at young age will assist them to enhance problem solving skills, improve logical reasoning, and advance analytical ability - key attributes to succeed in the 21st century.Educators around the world are investing their relentless effort in equipping the young generation with real-world skills ready for the demand and challenges of the future. It is commonly believed that computational thinking will play a pivotal and dominant role in this endeavour. Wide-ranging research on and application of computational thinking in education have been emerged in the last ten years. This book will document attempts to conduct systematic, prodigious and multidisciplinary research in computational thinking and present their findings and accomplishments.
Описание: Este libro ofrece un analisis variacionista de la expresion verbal de lo futuro en el espanol de la comunidad de habla bilingue castellano-catalan de Valencia. Se investigan tres variantes: futuro morfologico, futuro perifrastico y presente prospectivo, y los resultados se comparan con los obtenidos en otras comunidades monolingues y bilingues del ambito hispanico. Junto a este estudio comparativo que permite conocer el paradigma alternante en el espanol de ambos lados del Atlantico, la obra aporta nuevos modelos para el tratamiento estadistico de los datos. Frente al programa empleado tradicionalmente en el Variacionismo, Goldvarb, se muestran las ventajas de Rbrul y del paquete SPSS; entre ellas, eliminar los knock-out y realizar analisis de regresion logistica multinomial. Tras identificar los factores internos y externos que estimulan cada marca temporal de futuro, se confirma el cambio en marcha favorable al futuro perifrastico y se corrobora el proceso lento de una doble gramaticalizacion: valor modal del futuro morfologico y valor temporal del futuro perifrastico.
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