Digital Stractics
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Digital Stractics
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Author : Chris Outram
language : en
Publisher: Springer
Release Date : 2016-04-29
Digital Stractics written by Chris Outram and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-29 with Business & Economics categories.
In the world of digital business, the line between strategy and tactics is blurring. Traditionally large companies would adopt strategic frameworks which planned over three- to five-year timescales, while most digital start-ups had little interest in comprehensive and rigorous strategic processes and simply set themselves vision and worked out how to get there along the way. In today's digital economy even large companies are finding that their planning horizons are being measured in months rather than years or quarters (if not yet in the weeks or even days of startups). On the other hand, investors are less swayed by the excitement of 'digital' and expect harder and more rigorous medium term planning from start-ups. As a result, while the empirical process of learning by doing is becoming part of traditional companies' strategy processes, digital pure plays are no longer just making it up as they go along, but actively learning and changing as they go along. In short: on the battlefield of online commerce, strategy blends with tactics. Indeed, the distinction between pure play and hybrid is increasingly redundant as more holistic business models begin to emerge. Digital Stractics captures the experience and insights of some 60 entrepreneurs, CEOs and chairmen of both pure plays and hybrids to formulate frameworks within which both pure plays and hybrids can shape their strategy and business models. As timescales between 'plan' and 'do' collapse strategy and tactics have to blend. The world of STRACTICS is upon us.
Spatial Statistics And Digital Image Analysis
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Author : National Research Council
language : en
Publisher: National Academies Press
Release Date : 1991-02-01
Spatial Statistics And Digital Image Analysis written by National Research Council and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991-02-01 with Mathematics categories.
Spatial statistics is one of the most rapidly growing areas of statistics, rife with fascinating research opportunities. Yet many statisticians are unaware of those opportunities, and most students in the United States are never exposed to any course work in spatial statistics. Written to be accessible to the nonspecialist, this volume surveys the applications of spatial statistics to a wide range of areas, including image analysis, geosciences, physical chemistry, and ecology. The book describes the contributions of the mathematical sciences, summarizes the current state of knowledge, and identifies directions for research.
Overarching Strategy On Data And Statistics At The Fund In The Digital Age
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Author : International Monetary Fund. Strategy, Policy, & Review Department
language : en
Publisher: International Monetary Fund
Release Date : 2018-03-20
Overarching Strategy On Data And Statistics At The Fund In The Digital Age written by International Monetary Fund. Strategy, Policy, & Review Department and has been published by International Monetary Fund this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-20 with Business & Economics categories.
"The first data and statistics strategy for the Fund comes at a critical time. A fast-changing data landscape, new data needs for evolving surveillance priorities, and persisting data weaknesses across the membership pose challenges and opportunities for the Fund and its members. The challenges emerging from the digital revolution include an unprecedented amount of new data and measurement questions on growth, productivity, inflation, and welfare. Newly available granular and high-frequency (big) data offer the potential for more timely detection of vulnerabilities. In the wake of the crisis, Fund surveillance requires greater cross-country data comparability; staff and authorities face the complexity of integrating new data sources and closing data gaps, while working to address the weaknesses noted by the IEO Report (Behind the Scenes with Data at the IMF) in 2016. The overarching strategy is to move toward an ecosystem of data and statistics that enables the Fund and its members to better meet the evolving data needs in a digital world. It integrates Fund-wide work streams on data provision to the Fund for surveillance purposes, international statistical standards, capacity development, and data management under a common institutional objective. It seeks seamless access and sharing of data within the Fund, enabling cloud-based data dissemination to support data provision by member countries (e.g., the “global data commons”), closing data gaps with new sources including Big Data, and improving assessments of data adequacy for surveillance to help better prioritize capacity development. The Fund also will work with policymakers to understand the implications of the digital economy and digital data for the macroeconomic statistics, including new measures of welfare beyond GDP."
All Of Nonparametric Statistics
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Author : Larry Wasserman
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-09-10
All Of Nonparametric Statistics written by Larry Wasserman and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-09-10 with Mathematics categories.
This text provides the reader with a single book where they can find accounts of a number of up-to-date issues in nonparametric inference. The book is aimed at Masters or PhD level students in statistics, computer science, and engineering. It is also suitable for researchers who want to get up to speed quickly on modern nonparametric methods. It covers a wide range of topics including the bootstrap, the nonparametric delta method, nonparametric regression, density estimation, orthogonal function methods, minimax estimation, nonparametric confidence sets, and wavelets. The book’s dual approach includes a mixture of methodology and theory.
How And Why To Read And Create Children S Digital Books
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Author : Natalia Kucirkova
language : en
Publisher: UCL Press
Release Date : 2018-12-03
How And Why To Read And Create Children S Digital Books written by Natalia Kucirkova and has been published by UCL Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-03 with Education categories.
How and Why to Read and Create Children's Digital Books outlines effective ways of using digital books in early years and primary classrooms, and specifies the educational potential of using digital books and apps in physical spaces and virtual communities. With a particular focus on apps and personalised reading, Natalia Kucirkova combines theory and practice to argue that personalised reading is only truly personalised when it is created or co-created by reading communities. Divided into two parts, Part I suggests criteria to evaluate the educational quality of digital books and practical strategies for their use in the classroom. Specific attention is paid to the ways in which digital books can support individual children’s strengths and difficulties, digital literacies, language and communication skills. Part II explores digital books created by children, their caregivers, teachers and librarians, and Kucirkova also offers insights into how smart toys, tangibles and augmented/virtual reality tools can enrich children’s reading for pleasure. How and Why to Read and Create Children's Digital Books is of interest to an international readership ranging from trainee or established teachers to MA level students and researchers, as well as designers, librarians and publishers. All are inspired to approach children’s reading on and with screens with an agentic perspective of creating and sharing. Praise for How and Why to Read and Create Children's Digital Books 'This is an exciting and innovative book – not least because it is freely available to read online but because its origins are in primary practice. The author is an accomplished storyteller, and whether you know, as yet, little about the value of digital literacy in the storymaking process, or you are an accomplished digital player, this book is full of evidence-informed ideas, explanations and inspiration.' Liz Chamberlain, Open University 'At a time when children's reading is increasingly on-screen, many teachers, parents and carers are seeking practical, straightforward guidance on how to support children's engagement with digital books. This volume, written by the leading expert on personalised e-books, is packed with app reviews, suggestions and insights from recent international research, all underpinned by careful analysis of digital book features and recognition of reading as a social and cultural practice. Providing accessible guidance on finding, choosing, sharing and creating digital books, it will be welcomed by those excited by the possibilities of enthusing children about reading in the digital age.' Cathy Burnett, Professor of Literacy and Education, Sheffield Hallam University
Intelligent Computing For Interactive System Design
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Author : Parisa Eslambolchilar
language : en
Publisher: ACM Books
Release Date : 2021-02-25
Intelligent Computing For Interactive System Design written by Parisa Eslambolchilar and has been published by ACM Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-25 with categories.
Intelligent Computing for Interactive System Design provides a comprehensive resource on what has become the dominant paradigm in designing novel interaction methods, involving gestures, speech, text, touch and brain-controlled interaction, embedded in innovative and emerging human-computer interfaces. These interfaces support ubiquitous interaction with applications and services running on smartphones, wearables, in-vehicle systems, virtual and augmented reality, robotic systems, the Internet of Things (IoT), and many other domains that are now highly competitive, both in commercial and in research contexts. This book presents the crucial theoretical foundations needed by any student, researcher, or practitioner working on novel interface design, with chapters on statistical methods, digital signal processing (DSP), and machine learning (ML). These foundations are followed by chapters that discuss case studies on smart cities, brain-computer interfaces, probabilistic mobile text entry, secure gestures, personal context from mobile phones, adaptive touch interfaces, and automotive user interfaces. The case studies chapters also highlight an in-depth look at the practical application of DSP and ML methods used for processing of touch, gesture, biometric, or embedded sensor inputs. A common theme throughout the case studies is ubiquitous support for humans in their daily professional or personal activities. In addition, the book provides walk-through examples of different DSP and ML techniques and their use in interactive systems. Common terms are defined, and information on practical resources is provided (e.g., software tools, data resources) for hands-on project work to develop and evaluate multimodal and multi-sensor systems. In a series of in-chapter commentary boxes, an expert on the legal and ethical issues explores the emergent deep concerns of the professional community, on how DSP and ML should be adopted and used in socially appropriate ways, to most effectively advance human performance during ubiquitous interaction with omnipresent computers. This carefully edited collection is written by international experts and pioneers in the fields of DSP and ML. It provides a textbook for students and a reference and technology roadmap for developers and professionals working on interaction design on emerging platforms.
Online Statistics Education
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Author : David M Lane
language : en
Publisher:
Release Date : 2014-12-02
Online Statistics Education written by David M Lane and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-02 with categories.
Online Statistics: An Interactive Multimedia Course of Study is a resource for learning and teaching introductory statistics. It contains material presented in textbook format and as video presentations. This resource features interactive demonstrations and simulations, case studies, and an analysis lab.This print edition of the public domain textbook gives the student an opportunity to own a physical copy to help enhance their educational experience. This part I features the book Front Matter, Chapters 1-10, and the full Glossary. Chapters Include:: I. Introduction, II. Graphing Distributions, III. Summarizing Distributions, IV. Describing Bivariate Data, V. Probability, VI. Research Design, VII. Normal Distributions, VIII. Advanced Graphs, IX. Sampling Distributions, and X. Estimation. Online Statistics Education: A Multimedia Course of Study (http: //onlinestatbook.com/). Project Leader: David M. Lane, Rice University.
Manual For The Production Of Statistics On The Digital Economy
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Author : United Nations Publications
language : en
Publisher:
Release Date : 2021
Manual For The Production Of Statistics On The Digital Economy written by United Nations Publications and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with Electronic commerce categories.
The United Nations Conference on Trade and Development (UNCTAD) is a founding member of the Partnership on Measuring ICT for Development, which is an international, multi-stakeholder initiative to improve the availability and quality of ICT data and indicators. One of its key achievements is the development of a core list of ICT indicators for the production of internationally comparable statistics. This list was first endorsed by the United Nations Statistical Commission at its 38th session in March 2007 and has since been updated regularly. The Commission encouraged countries to use that list in their data collection programmes; a first version of the Manual for the Production of Statistics on the Information Economy was published at the end of 2007. An updated version was published in 2009. The current edition, entitled Manual for the Production of Statistics on the Digital Economy, was prepared to reflect the many changes that have taken place in the past decade in terms of access and use of ICTs. Compared to earlier versions, it expands the coverage of the measurement of e-commerce, trade in ICT services and trade in ICT-enabled (or digitally delivered) services. It contains more model questionnaires and reflects the most recent revisions of the Partnership's list of core ICT indicators. The Manual is intended to guide statisticians from developing countries through all the steps involved in the production and dissemination of statistics related to e-commerce and the digital economy.
Statistics For Machine Learning
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Author : Pratap Dangeti
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-07-21
Statistics For Machine Learning written by Pratap Dangeti and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-21 with Computers categories.
Build Machine Learning models with a sound statistical understanding. About This Book Learn about the statistics behind powerful predictive models with p-value, ANOVA, and F- statistics. Implement statistical computations programmatically for supervised and unsupervised learning through K-means clustering. Master the statistical aspect of Machine Learning with the help of this example-rich guide to R and Python. Who This Book Is For This book is intended for developers with little to no background in statistics, who want to implement Machine Learning in their systems. Some programming knowledge in R or Python will be useful. What You Will Learn Understand the Statistical and Machine Learning fundamentals necessary to build models Understand the major differences and parallels between the statistical way and the Machine Learning way to solve problems Learn how to prepare data and feed models by using the appropriate Machine Learning algorithms from the more-than-adequate R and Python packages Analyze the results and tune the model appropriately to your own predictive goals Understand the concepts of required statistics for Machine Learning Introduce yourself to necessary fundamentals required for building supervised & unsupervised deep learning models Learn reinforcement learning and its application in the field of artificial intelligence domain In Detail Complex statistics in Machine Learning worry a lot of developers. Knowing statistics helps you build strong Machine Learning models that are optimized for a given problem statement. This book will teach you all it takes to perform complex statistical computations required for Machine Learning. You will gain information on statistics behind supervised learning, unsupervised learning, reinforcement learning, and more. Understand the real-world examples that discuss the statistical side of Machine Learning and familiarize yourself with it. You will also design programs for performing tasks such as model, parameter fitting, regression, classification, density collection, and more. By the end of the book, you will have mastered the required statistics for Machine Learning and will be able to apply your new skills to any sort of industry problem. Style and approach This practical, step-by-step guide will give you an understanding of the Statistical and Machine Learning fundamentals you'll need to build models.
The Global Findex Database 2017
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Author : Asli Demirguc-Kunt
language : en
Publisher: World Bank Publications
Release Date : 2018-04-19
The Global Findex Database 2017 written by Asli Demirguc-Kunt and has been published by World Bank Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-19 with Business & Economics categories.
In 2011 the World Bank—with funding from the Bill and Melinda Gates Foundation—launched the Global Findex database, the world's most comprehensive data set on how adults save, borrow, make payments, and manage risk. Drawing on survey data collected in collaboration with Gallup, Inc., the Global Findex database covers more than 140 economies around the world. The initial survey round was followed by a second one in 2014 and by a third in 2017. Compiled using nationally representative surveys of more than 150,000 adults age 15 and above in over 140 economies, The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution includes updated indicators on access to and use of formal and informal financial services. It has additional data on the use of financial technology (or fintech), including the use of mobile phones and the Internet to conduct financial transactions. The data reveal opportunities to expand access to financial services among people who do not have an account—the unbanked—as well as to promote greater use of digital financial services among those who do have an account. The Global Findex database has become a mainstay of global efforts to promote financial inclusion. In addition to being widely cited by scholars and development practitioners, Global Findex data are used to track progress toward the World Bank goal of Universal Financial Access by 2020 and the United Nations Sustainable Development Goals. The database, the full text of the report, and the underlying country-level data for all figures—along with the questionnaire, the survey methodology, and other relevant materials—are available at www.worldbank.org/globalfindex.