Автор: Bremer Martina, Doerge Rebecca W. Название: Using R at the Bench: Step-By-Step Data Analytics for Biologists ISBN: 1621821129 ISBN-13(EAN): 9781621821120 Издательство: Неизвестно Рейтинг: Цена: 102690.00 T Наличие на складе: Невозможна поставка. Описание: Using R at the Bench: Step-by-Step Data Analytics for Biologists is a convenient bench-side handbook for biologists, designed as a handy reference guide for elementary and intermediate statistical analyses using the free/public software package known as R. The expectations for biologists to have a more complete understanding of statistics are growing rapidly. New technologies and new areas of science, such as microarrays, next-generation sequencing, and proteomics, have dramatically increased the need for quantitative reasoning among biologists when designing experiments and interpreting results. Even the most routine informatics tools rely on statistical assumptions and methods that need to be appreciated if the scientific results are to be correct, understood, and exploited fully. Although the original Statistics at the Bench is still available for sale and has all examples in Excel, this new book uses the same text and examples in R. A new chapter introduces the basics of R: where to download, how to get started, and some basic commands and resources. There is also a new chapter that explains how to analyze next-generation sequencing data using R (specifically, RNA-Seq). R is powerful statistical software with many specialized packages for biological applications and Using R at the Bench: Step-by-Step Data Analytics for Biologists is an excellent resource for those biologists who want to learn R. This handbook for working scientists provides a simple refresher for those who have forgotten what they once knew and an overview for those wishing to use more quantitative reasoning in their research. Statistical methods, as well as guidelines for the interpretation of results, are explained using simple examples. Throughout the book, examples are accompanied by detailed R commands for easy reference.
Автор: Guo, Xin , Lai, Tze Leung , Shek, Howard , Wong Название: Quantitative Trading ISBN: 0367871815 ISBN-13(EAN): 9780367871819 Издательство: Taylor&Francis Рейтинг: Цена: 63280.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The first part of this book discusses institutions and mechanisms of algorithmic trading, market microstructure, high-frequency data and stylized facts, time and event aggregation, order book dynamics, trading strategies and algorithms, transaction costs, market impact and execution strategies, risk analysis, and management. The second part cove
Автор: Arikan, Akin, Название: Customer experience analytics : ISBN: 1032370769 ISBN-13(EAN): 9781032370767 Издательство: Taylor&Francis Рейтинг: Цена: 30610.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: An unprecedented guide to user experience (UX) analytics, this book closes a mission-critical skill gap and enables business professionals in a digital-first world to make smart, effective, and quick decisions based on experience analytics.
Автор: P Suresh et al. Название: Big data analytics in smart manufacturing ISBN: 1032065516 ISBN-13(EAN): 9781032065519 Издательство: Taylor&Francis Рейтинг: Цена: 96970.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The ultra-secure and immutable ledgers, strong, consensus mechanisms, decentralization, and self-sovereign identity of AI and IoT technologies have tremendous potential to rebalance and improve machine learning algorithms. This book discusses the possibility of using AI, IoT and machine learning for the enhancement of healthcare systems.
Автор: Bakhshandeh, Behnam Rothwell, William J. Imroz, So Название: Spatiotemporal Analytics ISBN: 1032303050 ISBN-13(EAN): 9781032303055 Издательство: Taylor&Francis Рейтинг: Цена: 91860.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book explains in very simple terms the concepts of spatiotemporal analytics and statistics, theories, and methods used. Each chapter introduces a case study as an example application for an in-depth learning process. The software used and the codes provided enable readers to learn statistics and use them effectively in their projects.
Автор: Scutari, Marco Название: The Pragmatic Programmer for Machine Learning ISBN: 0367263505 ISBN-13(EAN): 9780367263508 Издательство: Taylor&Francis Рейтинг: Цена: 76550.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Gives a holistic approach to machine learning and data science applications, from design to deployment and quality assurance, as an overarching cyclical process; Bridges machine learning and software engineering to build a shared set of best practices useful to both academia and the industry; Discusses deployment options for different types of models and data to help practitioners reason and make informed choices. Emphasizes the role of coding standards and software architecture alongside statistical rigor to implement reproducible and scalable machine learning modelsKey Features: A complete guide to software engineering for machine learning and data science applications, from choosing the right hardware to analysing algorithms and designing scalable architectures. Surveys the state of the art of the software and frameworks used to build and run machine learning applications, comparing and contrasting their trade-offs.
Comes with a complete case study in natural language understanding which illustrates the principles and the tools covered in the book. Code available from GitHub. Provides a multi-disciplinary view of how traditional software learning practices can be integrated with the workflows of domain experts and the unique characteristics of software in which data play a central role.
Автор: Sumer, Selay Ilgaz Название: Social Media Analytics in Predicting Consumer Behavior ISBN: 1032059907 ISBN-13(EAN): 9781032059907 Издательство: Taylor&Francis Рейтинг: Цена: 148010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Understanding the importance of social media analytics. Comprehending the role of social media analytics in predicting consumer behavior. Understanding the importance of using social media in strategic marketing plans.
Автор: Jay Liebowitz Название: Developing the intuitive executive ISBN: 103249820X ISBN-13(EAN): 9781032498201 Издательство: Taylor&Francis Рейтинг: Цена: 48990.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Imriyas Kamardeen Название: Preventing Workplace Incidents in Construction: Data Mining and Analytics Applications ISBN: 1138087459 ISBN-13(EAN): 9781138087453 Издательство: Taylor&Francis Рейтинг: Цена: 163330.00 T Наличие на складе: Нет в наличии. Описание: This book aims to apply data mining and analytic techniques to past workplace accident data to discover patterns that facilitate the development of innovative models and strategies.
Автор: Nwulu Nnamdi, Gbadamosi Saheed Lekan Название: Optimal Operation and Control of Power Systems Using an Algebraic Modelling Language ISBN: 3030003949 ISBN-13(EAN): 9783030003944 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents mathematical models of demand-side management programs, together with operational and control problems for power and renewable energy systems.
Автор: Chapman Chris, Feit Elea McDonnell Название: R for Marketing Research and Analytics ISBN: 3030143155 ISBN-13(EAN): 9783030143152 Издательство: Springer Рейтинг: Цена: 69870.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The 2nd edition of R for Marketing Research and Analytics continues to be the best place to learn R for marketing research. This book is a complete introduction to the power of R for marketing research practitioners. The text describes statistical models from a conceptual point of view with a minimal amount of mathematics, presuming only an introductory knowledge of statistics. Hands-on chapters accelerate the learning curve by asking readers to interact with R from the beginning. Core topics include the R language, basic statistics, linear modeling, and data visualization, which is presented throughout as an integral part of analysis.Later chapters cover more advanced topics yet are intended to be approachable for all analysts. These sections examine logistic regression, customer segmentation, hierarchical linear modeling, market basket analysis, structural equation modeling, and conjoint analysis in R. The text uniquely presents Bayesian models with a minimally complex approach, demonstrating and explaining Bayesian methods alongside traditional analyses for analysis of variance, linear models, and metric and choice-based conjoint analysis. With its emphasis on data visualization, model assessment, and development of statistical intuition, this book provides guidance for any analyst looking to develop or improve skills in R for marketing applications.The 2nd edition increases the book’s utility for students and instructors with the inclusion of exercises and classroom slides. At the same time, it retains all of the features that make it a vital resource for practitioners: non-mathematical exposition, examples modeled on real world marketing problems, intuitive guidance on research methods, and immediately applicable code.
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