Data Driven Dealings Development
DOWNLOAD
Download Data Driven Dealings Development PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Data Driven Dealings Development book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Data Driven Dealings Development
DOWNLOAD
Author : JESKO. REHBERG
language : en
Publisher:
Release Date : 2020
Data Driven Dealings Development written by JESKO. REHBERG and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
Transforming Teaching And Learning Through Data Driven Decision Making
DOWNLOAD
Author : Ellen B. Mandinach
language : en
Publisher: Corwin Press
Release Date : 2012-04-10
Transforming Teaching And Learning Through Data Driven Decision Making written by Ellen B. Mandinach and has been published by Corwin Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-04-10 with Education categories.
Connect data and instruction to improve practice Gathering data and using it to inform instruction is a requirement for many schools, yet educators are not necessarily formally trained in how to do it. This book helps bridge the gap between classroom practice and the principles of educational psychology. Teachers will find cutting-edge advances in research and theory on human learning and teaching in an easily understood and transferable format. The text’s integrated model shows teachers, school leaders, and district administrators how to establish a data culture and transform quantitative and qualitative data into actionable knowledge based on: Assessment Statistics Instructional and differentiated psychology Classroom management
Data Driven Evolutionary Modeling In Materials Technology
DOWNLOAD
Author : Nirupam Chakraborti
language : en
Publisher: CRC Press
Release Date : 2022-09-15
Data Driven Evolutionary Modeling In Materials Technology written by Nirupam Chakraborti and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-15 with Technology & Engineering categories.
Due to efficacy and optimization potential of genetic and evolutionary algorithms, they are used in learning and modeling especially with the advent of big data related problems. This book presents the algorithms and strategies specifically associated with pertinent issues in materials science domain. It discusses the procedures for evolutionary multi-objective optimization of objective functions created through these procedures and introduces available codes. Recent applications ranging from primary metal production to materials design are covered. It also describes hybrid modeling strategy, and other common modeling and simulation strategies like molecular dynamics, cellular automata etc. Features: Focuses on data-driven evolutionary modeling and optimization, including evolutionary deep learning. Include details on both algorithms and their applications in materials science and technology. Discusses hybrid data-driven modeling that couples evolutionary algorithms with generic computing strategies. Thoroughly discusses applications of pertinent strategies in metallurgy and materials. Provides overview of the major single and multi-objective evolutionary algorithms. This book aims at Researchers, Professionals, and Graduate students in Materials Science, Data-Driven Engineering, Metallurgical Engineering, Computational Materials Science, Structural Materials, and Functional Materials.
Data Driven Decision Making In Fragile Contexts
DOWNLOAD
Author : Alexander Hamilton
language : en
Publisher: World Bank Publications
Release Date : 2017-06-16
Data Driven Decision Making In Fragile Contexts written by Alexander Hamilton 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 2017-06-16 with Business & Economics categories.
The need for evidence-based decision making at all levels of government is perhaps greatest in fragilesettings. Data deficiencies contribute to state fragility and exacerbate constraints on the capacity toprovide basic services, public security, and the rule of law. The lack of robust, good-quality data can alsohave a disabling effect on government efforts to manage political conflict. Indeed, the lack of data canworsen conflict, since violent settings pose substantial challenges to knowledge generation, capture,andapplication.The development of sustainable and professional data-literate stakeholders who are able to produce andincrease the quality and accessibility of official statistics can help to improve development outcomes.Goodquality and reliable statistics are required to track the progress of development policies through themonitoring of performance indicators and targets and to ensure that public resources are achieving results.Although reliable data alone cannot have a transformative effect without the right contextual incentives,they constitute an essential prerequisite for greater accountability and more efficient decision making.Data-Driven Decision Making in Fragile Contexts: Evidence from Sudanexplores methods and insights fordatacollection and use in fragile contexts, with a focus on findings from Sudan. It begins by posing severalquestions on the political economy of data and then sets out a framework for assessing the validity,reliability, and potential impact of data on decision making in fragile settings. It then provides insightsregarding the challenges associated with data-driven decision making in Sudan, derived from the 2014–15United Kingdom’s Department for International Development Sudanese household survey. Featured aredata-driven analyses of diverse topics, from public service delivery to the interplay of governance, trust,andstate legitimacy.As the data revolution and the advent of the Sustainable Development Goals herald an increasing need tosolicit the perceptions and experiences of program beneficiaries, the impetus to develop and deploy goodquality survey instruments will increase. This volume provides an important proof of concept that this typeofendeavor is both feasible and useful in fragile contexts and, in combination with other important datacollection tools, can be effectively utilized to enrich the evidence base of decision making in these settings.
Data Driven Innovation Big Data For Growth And Well Being
DOWNLOAD
Author : OECD
language : en
Publisher: OECD Publishing
Release Date : 2015-10-06
Data Driven Innovation Big Data For Growth And Well Being written by OECD and has been published by OECD Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-06 with categories.
This report improves the evidence base on the role of Data Driven Innovation for promoting growth and well-being, and provide policy guidance on how to maximise the benefits of DDI and mitigate the associated economic and societal risks.
Dealing With Complexity In Development Evaluation
DOWNLOAD
Author : Michael Bamberger
language : en
Publisher: SAGE Publications
Release Date : 2015-10-16
Dealing With Complexity In Development Evaluation written by Michael Bamberger and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-16 with Social Science categories.
Recognizing that complexity calls for innovative, conceptual, and methodological solutions, Dealing with Complexity in Development Evaluation by Michael Bamberger, Jos Vaessen, and Estelle Raimondo offers practical guidance to policymakers, managers, and evaluation practitioners on how to design and implement complexity-responsive evaluations that can be undertaken in the real world of time, budget, data, and political constraints. Introductory chapters present comprehensive, non-technical overviews of the most common evaluation tools and methodologies, and additional content addresses more cutting-edge material. The book also includes six case study chapters to illustrate examples of various evaluation contexts from around the world.
Handbook Of Dynamic Data Driven Applications Systems
DOWNLOAD
Author : Frederica Darema
language : en
Publisher: Springer Nature
Release Date : 2023-09-14
Handbook Of Dynamic Data Driven Applications Systems written by Frederica Darema and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-14 with Computers categories.
This Second Volume in the series Handbook of Dynamic Data Driven Applications Systems (DDDAS) expands the scope of the methods and the application areas presented in the first Volume and aims to provide additional and extended content of the increasing set of science and engineering advances for new capabilities enabled through DDDAS. The methods and examples of breakthroughs presented in the book series capture the DDDAS paradigm and its scientific and technological impact and benefits. The DDDAS paradigm and the ensuing DDDAS-based frameworks for systems’ analysis and design have been shown to engender new and advanced capabilities for understanding, analysis, and management of engineered, natural, and societal systems (“applications systems”), and for the commensurate wide set of scientific and engineering fields and applications, as well as foundational areas. The DDDAS book series aims to be a reference source of many of the important research and development efforts conducted under the rubric of DDDAS, and to also inspire the broader communities of researchers and developers about the potential in their respective areas of interest, of the application and the exploitation of the DDDAS paradigm and the ensuing frameworks, through the examples and case studies presented, either within their own field or other fields of study. As in the first volume, the chapters in this book reflect research work conducted over the years starting in the 1990’s to the present. Here, the theory and application content are considered for: Foundational Methods Materials Systems Structural Systems Energy Systems Environmental Systems: Domain Assessment & Adverse Conditions/Wildfires Surveillance Systems Space Awareness Systems Healthcare Systems Decision Support Systems Cyber Security Systems Design of Computer Systems The readers of this book series will benefit from DDDAS theory advances such as object estimation, information fusion, and sensor management. The increased interest in Artificial Intelligence (AI), Machine Learning and Neural Networks (NN) provides opportunities for DDDAS-based methods to show the key role DDDAS plays in enabling AI capabilities; address challenges that ML-alone does not, and also show how ML in combination with DDDAS-based methods can deliver the advanced capabilities sought; likewise, infusion of DDDAS-like approaches in NN-methods strengthens such methods. Moreover, the “DDDAS-based Digital Twin” or “Dynamic Digital Twin”, goes beyond the traditional DT notion where the model and the physical system are viewed side-by-side in a static way, to a paradigm where the model dynamically interacts with the physical system through its instrumentation, (per the DDDAS feed-back control loop between model and instrumentation).
Data Driven Innovation
DOWNLOAD
Author : Michael Moesgaard Andersen
language : en
Publisher: Routledge
Release Date : 2021-03-02
Data Driven Innovation written by Michael Moesgaard Andersen and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-02 with Business & Economics categories.
Today, innovation does not just occur in large and incumbent R&D organizations. Instead, it often emerges from the start-up community. In the new innovation economy, the key is to quickly find pieces of innovation, some of which may already be developed. Therefore, there is the need for more advanced means of searching and identifying innovation wherever it may occurs. We point to the importance of data-driven innovation based on digital platforms, as their footprints are growing rapidly and in sync with the shift from analogue to digital innovation workflows. This book offers companies insights on paths to business success and tools that will help them find the right route through the various options when it comes to the digital platforms where innovations may be discovered and from which value may be appropriated. The world hungers for growth and one of the most important vehicles for growth is innovation. In light of the new digital platforms from which data-driven innovation can be extracted, major parts of analogue workflows will be substituted with digital workflows. Data-driven innovation and digital innovation workflows are here to stay. Are you?
Software Process Improvement And Capability Determination
DOWNLOAD
Author : Antonia Mas
language : en
Publisher: Springer
Release Date : 2017-09-08
Software Process Improvement And Capability Determination written by Antonia Mas and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-08 with Business & Economics categories.
This book constitutes the refereed proceedings of the 17th International Conference on Software Process Improvement and Capability Determination, SPICE 2017, held in Palma de Mallorca, Spain, in October 2017. The 34 full papers presented together with 4 short papers were carefully reviewed and selected from 65 submissions. The papers are organized in the following topical sections: SPI in agile approaches; SPI in small settings; SPI and assessment; SPI and models; SPI and functional safety; SPI in various settings; SPI and gamification; SPI case studies; strategic and knowledge issues in SPI; education issues in SPI.
Data Driven Modelling And Predictive Analytics In Business And Finance
DOWNLOAD
Author : Alex Khang
language : en
Publisher: CRC Press
Release Date : 2024-07-24
Data Driven Modelling And Predictive Analytics In Business And Finance written by Alex Khang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-24 with Computers categories.
Data-driven and AI-aided applications are next-generation technologies that can be used to visualize and realize intelligent transactions in finance, banking, and business. These transactions will be enabled by powerful data-driven solutions, IoT technologies, AI-aided techniques, data analytics, and visualization tools. To implement these solutions, frameworks will be needed to support human control of intelligent computing and modern business systems. The power and consistency of data-driven competencies are a critical challenge, and so is developing explainable AI (XAI) to make data-driven transactions transparent. Data- Driven Modelling and Predictive Analytics in Business and Finance covers the need for intelligent business solutions and applications. Explaining how business applications use algorithms and models to bring out the desired results, the book covers: Data-driven modelling Predictive analytics Data analytics and visualization tools AI-aided applications Cybersecurity techniques Cloud computing IoT-enabled systems for developing smart financial systems This book was written for business analysts, financial analysts, scholars, researchers, academics, professionals, and students so they may be able to share and contribute new ideas, methodologies, technologies, approaches, models, frameworks, theories, and practices.