Generative Methods for Social Media Analysis, Matwin

Автор: Edited By Roshani Raut, Pranav D Pathak, Sachin R
Название: Generative Adversarial Networks and Deep Learning Theory and Applications
ISBN: 1032068108 ISBN-13(EAN): 9781032068107
Издательство: Taylor&Francis
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Цена: 153120.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book explores how to use generative adversarial networks in a variety of applications and emphasises their substantial advancements over traditional generative models. This book's major goal is to concentrate on cutting-edge research in deep learning and generative adversarial networks, which includes creating new tools and methods for processing text, images, and audio. A Generative Adversarial Network (GAN) is a class of machine learning framework and is the next emerging network in deep learning applications.

Generative Adversarial Networks(GANs) have the feasibility to build improved models, as they can generate the sample data as per application requirements. There are various applications of GAN in science and technology, including computer vision, security, multimedia and advertisements, image generation, image translation,text-to-images synthesis, video synthesis, generating high-resolution images, drug discovery, etc. Features:Presents a comprehensive guide on how to use GAN for images and videos.

Includes case studies of Underwater Image Enhancement Using Generative Adversarial Network, Intrusion detection using GANHighlights the inclusion of gaming effects using deep learning methodsExamines the significant technological advancements in GAN and its real-world application. Discusses as GAN challenges and optimal solutionsThe book addresses scientific aspects for a wider audience such as junior and senior engineering, undergraduate and postgraduate students, researchers, and anyone interested in the trends development and opportunities in GAN and Deep Learning. The material in the book can serve as a reference in libraries, accreditation agencies, government agencies, and especially the academic institution of higher education intending to launch or reform their engineering curriculum

Автор: Bickel, David
Название: Genomics data analysis
ISBN: 0367280361 ISBN-13(EAN): 9780367280369
Издательство: Taylor&Francis
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Цена: 58170.00 T
Наличие на складе: Невозможна поставка.
Описание: The objective is to prepare students and scientists to analyze genomics data using empirical Bayes methods and to critically evaluate the statistical methods appearing in genomics articles. That is accomplished by providing the information needed for them to interpret p values for their current or future research.

Автор: Gates, Kathleen,
Название: Intensive longitudinal analysis of human processes /
ISBN: 1482230593 ISBN-13(EAN): 9781482230598
Издательство: Taylor&Francis
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Цена: 96970.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book focuses on a span of statistical topics relevant to researchers who seek to conduct person-specific analysis of human data. The primary audience are students and researchers in psychometrics, quantitative psychology, psychophysiology and neurocognition. This book can be used for both teaching and research.

Автор: Li, PhD
Название: Numerical Methods Using Kotlin
ISBN: 1484288254 ISBN-13(EAN): 9781484288252
Издательство: Springer
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Цена: 60550.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This in-depth guide covers a wide range of topics, including chapters on linear algebra, root finding, curve fitting, differentiation and integration, solving differential equations, random numbers and simulation, a whole suite of unconstrained and constrained optimization algorithms, statistics, regression and time series analysis. The mathematical concepts behind the algorithms are clearly explained, with plenty of code examples and illustrations to help even beginners get started. In this book, you'll implement numerical algorithms in Kotlin using NM Dev, an object-oriented and high-performance programming library for applied and industrial mathematics. Discover how Kotlin has many advantages over Java in its speed, and in some cases, ease of use. In this book, you’ll see how it can help you easily create solutions for your complex engineering and data science problems. After reading this book, you'll come away with the knowledge to create your own numerical models and algorithms using the Kotlin programming language. What You Will Learn * Program in Kotlin using a high-performance numerical library * Learn the mathematics necessary for a wide range of numerical computing algorithms * Convert ideas and equations into code * Put together algorithms and classes to build your own engineering solutions * Build solvers for industrial optimization problems * Perform data analysis using basic and advanced statistics Who This Book Is For Programmers, data scientists, and analysts with prior experience programming in any language, especially Kotlin or Java.

Автор: He, Yulei
Название: Multiple Imputation Analysis For Ob
ISBN: 1498722067 ISBN-13(EAN): 9781498722063
Издательство: Taylor&Francis
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Цена: 91860.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Multiple Imputation of Missing Data in Practice: Basic Theory and Analysis Strategies provides a comprehensive introduction to the multiple imputation approach to missing data problems that are often encountered in data analysis.

Автор: Heeringa
Название: Applied Survey Data Analysis, Second Edition
ISBN: 1498761607 ISBN-13(EAN): 9781498761604
Издательство: Taylor&Francis
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Цена: 91860.00 T
Наличие на складе: Нет в наличии.
Описание: This book provides an overview of state-of-the-art approaches to the analysis of complex sample survey data. Building on the wealth of material on practical approaches to descriptive analysis and regression modeling from the first edition, this second edition expands the topics covered and presents more examples the analysis of survey data.

Автор: Christopher H Schmid
Название: Handbook Of Meta-Analysis
ISBN: 1498703984 ISBN-13(EAN): 9781498703987
Издательство: Taylor&Francis
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Цена: 163330.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Meta-analysis is the application of statistics to combine results from multiple studies and draw appropriate inferences. Its use and importance have exploded over the years as the need for a robust evidence base has become clear in many scientific areas like medicine and health, social sciences, education, psychology, ecology and economics.

Автор: Manfred Mudelsee
Название: Climate Time Series Analysis
ISBN: 3319044494 ISBN-13(EAN): 9783319044491
Издательство: Springer
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Цена: 158380.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Written for climatologists and applied statisticians, this book explains the bootstrap algorithms (including novel adaptions) and methods for confidence interval construction. The accuracy of the algorithms is tested by means of Monte Carlo experiments.

Автор: Kimmo Vehkalahti , Brian S. Everitt
Название: Multivariate Analysis for the Behavioral Sciences, Second Edition
ISBN: 0815385153 ISBN-13(EAN): 9780815385158
Издательство: Taylor&Francis
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Цена: 86760.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Multivariate Analysis for the Behavioral Sciences, Second Edition is designed to show how a variety of statistical methods can be used to analyse data collected by psychologists and other behavioral scientists.

Автор: Mervyn G. Marasinghe; Kenneth J. Koehler
Название: Statistical Data Analysis Using SAS
ISBN: 3319692380 ISBN-13(EAN): 9783319692388
Издательство: Springer
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Цена: 79190.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The aim of this textbook (previously titled SAS for Data Analytics) is to teach the use of SAS for statistical analysis of data for advanced undergraduate and graduate students in statistics, data science, and disciplines involving analyzing data.

The book begins with an introduction beyond the basics of SAS, illustrated with non-trivial, real-world, worked examples. It proceeds to SAS programming and applications, SAS graphics, statistical analysis of regression models, analysis of variance models, analysis of variance with random and mixed effects models, and then takes the discussion beyond regression and analysis of variance to conclude.

Pedagogically, the authors introduce theory and methodological basis topic by topic, present a problem as an application, followed by a SAS analysis of the data provided and a discussion of results. The text focuses on applied statistical problems and methods. Key features include: end of chapter exercises, downloadable SAS code and data sets, and advanced material suitable for a second course in applied statistics with every method explained using SAS analysis to illustrate a real-world problem.

New to this edition:

•    Covers SAS v9.2 and incorporates new commands
•    Uses SAS ODS (output delivery system) for reproduction of tables and graphics output
•    Presents new commands needed to produce ODS output
•    All chapters rewritten for clarity
•    New  and updated examples throughout
•    All SAS outputs are new and updated, including graphics
•    More exercises and problems
•    Completely new chapter on analysis of nonlinear and generalized linear models
•    Completely new appendix

Mervyn G. Marasinghe, PhD, is Associate Professor Emeritus of Statistics at Iowa State University, where he has taught courses in statistical methods and statistical computing.

Kenneth J. Koehler, PhD, is University Professor of Statistics at Iowa State University, where he teaches courses in statistical methodology at both graduate and undergraduate levels and primarily uses SAS to supplement his teaching.

Автор: Evert van Imhoff; Anton Kuijsten; Pieter Hooimeije
Название: Household Demography and Household Modeling
ISBN: 1441932518 ISBN-13(EAN): 9781441932518
Издательство: Springer
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Цена: 177010.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In 1992, a summer course `Demographic Perspectives on Living Arrangements` as well as a one-day workshop `Recent Issues in Household Modelling` were held in Wassenaar, The Netherlands.

Автор: Jean-Louis Auget; N. Balakrishnan; Mounir Mesbah;
Название: Advances in Statistical Methods for the Health Sciences
ISBN: 0817643680 ISBN-13(EAN): 9780817643683
Издательство: Springer
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Цена: 158340.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Statistical methods have become an increasingly important and integral part of research in the health sciences. Many sophisticated methodologies have been developed for specific applications and problems. This self-contained comprehensive volume covers a wide range of topics pertaining to new statistical methods in the health sciences, including epidemiology, pharmacovigilance, quality of life, survival analysis, and genomics.