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Author: Yiannis Dimotikalis
Publisher: John Wiley & Sons
ISBN: 1786306743
Category : Business & Economics
Languages : en
Pages : 290
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Book Description
BIG DATA, ARTIFICIAL INTELLIGENCE AND DATA ANALYSIS SET Coordinated by Jacques Janssen Data analysis is a scientific field that continues to grow enormously, most notably over the last few decades, following rapid growth within the tech industry, as well as the wide applicability of computational techniques alongside new advances in analytic tools. Modeling enables data analysts to identify relationships, make predictions, and to understand, interpret and visualize the extracted information more strategically. This book includes the most recent advances on this topic, meeting increasing demand from wide circles of the scientific community. Applied Modeling Techniques and Data Analysis 2 is a collective work by a number of leading scientists, analysts, engineers, mathematicians and statisticians, working on the front end of data analysis and modeling applications. The chapters cover a cross section of current concerns and research interests in the above scientific areas. The collected material is divided into appropriate sections to provide the reader with both theoretical and applied information on data analysis methods, models and techniques, along with appropriate applications.
Author: Yiannis Dimotikalis
Publisher: John Wiley & Sons
ISBN: 1786306743
Category : Business & Economics
Languages : en
Pages : 290
Get Book Here
Book Description
BIG DATA, ARTIFICIAL INTELLIGENCE AND DATA ANALYSIS SET Coordinated by Jacques Janssen Data analysis is a scientific field that continues to grow enormously, most notably over the last few decades, following rapid growth within the tech industry, as well as the wide applicability of computational techniques alongside new advances in analytic tools. Modeling enables data analysts to identify relationships, make predictions, and to understand, interpret and visualize the extracted information more strategically. This book includes the most recent advances on this topic, meeting increasing demand from wide circles of the scientific community. Applied Modeling Techniques and Data Analysis 2 is a collective work by a number of leading scientists, analysts, engineers, mathematicians and statisticians, working on the front end of data analysis and modeling applications. The chapters cover a cross section of current concerns and research interests in the above scientific areas. The collected material is divided into appropriate sections to provide the reader with both theoretical and applied information on data analysis methods, models and techniques, along with appropriate applications.
Author: Max Kuhn
Publisher: Springer Science & Business Media
ISBN: 1461468493
Category : Medical
Languages : en
Pages : 595
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Book Description
Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. The text illustrates all parts of the modeling process through many hands-on, real-life examples, and every chapter contains extensive R code for each step of the process. This multi-purpose text can be used as an introduction to predictive models and the overall modeling process, a practitioner’s reference handbook, or as a text for advanced undergraduate or graduate level predictive modeling courses. To that end, each chapter contains problem sets to help solidify the covered concepts and uses data available in the book’s R package. This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics.
Author: Alex Karagrigoriou
Publisher: John Wiley & Sons
ISBN: 1119821576
Category : Business & Economics
Languages : en
Pages : 304
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Book Description
BIG DATA, ARTIFICIAL INTELLIGENCE AND DATA ANALYSIS SET Coordinated by Jacques Janssen Data analysis is a scientific field that continues to grow enormously, most notably over the last few decades, following rapid growth within the tech industry, as well as the wide applicability of computational techniques alongside new advances in analytic tools. Modeling enables data analysts to identify relationships, make predictions, and to understand, interpret and visualize the extracted information more strategically. This book includes the most recent advances on this topic, meeting increasing demand from wide circles of the scientific community. Applied Modeling Techniques and Data Analysis 1 is a collective work by a number of leading scientists, analysts, engineers, mathematicians and statisticians, working on the front end of data analysis and modeling applications. The chapters cover a cross section of current concerns and research interests in the above scientific areas. The collected material is divided into appropriate sections to provide the reader with both theoretical and applied information on data analysis methods, models and techniques, along with appropriate applications.
Author: Judith D. Singer
Publisher: Oxford University Press
ISBN: 9780195152968
Category : Mathematics
Languages : en
Pages : 672
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Book Description
By charting changes over time and investigating whether and when events occur, researchers reveal the temporal rhythms of our lives.
Author: T. Agami Reddy
Publisher: Springer Science & Business Media
ISBN: 1441996133
Category : Technology & Engineering
Languages : en
Pages : 446
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Book Description
Applied Data Analysis and Modeling for Energy Engineers and Scientists fills an identified gap in engineering and science education and practice for both students and practitioners. It demonstrates how to apply concepts and methods learned in disparate courses such as mathematical modeling, probability,statistics, experimental design, regression, model building, optimization, risk analysis and decision-making to actual engineering processes and systems. The text provides a formal structure that offers a basic, broad and unified perspective,while imparting the knowledge, skills and confidence to work in data analysis and modeling. This volume uses numerous solved examples, published case studies from the author’s own research, and well-conceived problems in order to enhance comprehension levels among readers and their understanding of the “processes”along with the tools.
Author: Michael Friendly
Publisher: CRC Press
ISBN: 1498725864
Category : Mathematics
Languages : en
Pages : 700
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Book Description
An Applied Treatment of Modern Graphical Methods for Analyzing Categorical DataDiscrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data presents an applied treatment of modern methods for the analysis of categorical data, both discrete response data and frequency data. It explains how to use graphical meth
Author: Sophie Bollinger
Publisher: John Wiley & Sons
ISBN: 1786308193
Category : Business & Economics
Languages : en
Pages : 196
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Book Description
Innovation is an essential growth lever for organizations. Like any strategic element, it must be managed to ensure the right decision is made at the right time. When we talk about management, we naturally also consider management control. However, using management tools can be a danger to developing creativity – an essential element of innovation. This book examines the interdependencies between management control and creativity. By comparing two organizational contexts, we highlight the vital role of organizations as generators of creativity. We also underline the acceptance of an imbalance between the elements in tension, which can lead to the questioning and fostering of innovation; and the role of senior management as mediators between organizations and local actors.
Author: Aline Courie-Lemeur
Publisher: John Wiley & Sons
ISBN: 1394277644
Category : Political Science
Languages : en
Pages : 220
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Book Description
Resilience in healthcare organizations is a complex issue, involving all stakeholders in the healthcare field. It is a highly topical issue, even more so in the wake of the recent health crisis. This book explores the impact of collective intelligence on the resilience of these organizations, and the role played by innovation. Health organizations comprise the structures and systems involved in treating patients, as well as healthcare professionals with medical, social or medico-social expertise, along with institutional and administrative players in the field. Innovation, Collective Intelligence and Resiliency in Healthcare Organizations alternates between theoretical readings and illustrative case studies. Their diversity is the result of their contributors: university researchers, institutional players from healthcare authorities, practicing caregivers in hospital structures or healthcare coordination support systems, and managers of healthcare structures and systems.
Author: Marie-France Vernier
Publisher: John Wiley & Sons
ISBN: 1394275811
Category : Political Science
Languages : en
Pages : 212
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Book Description
Successive IPCC reports consistently stress the devastating impact of human activity on the climate. An ecological transition seems essential to modify our economic and social system, while meeting the needs of current and future generations. As the main culprits of environmental destruction, companies must modify their production methods to reduce their negative impact on the environment. Eco Design and Ecological Transition presents an innovative approach to eco design, a method that aims to offer products or services with a reduced environmental impact compared to conventional production methods, from the extraction of resources to the end of the product’s life. The book also analyzes the potential of the circular economy and frugal innovation. It shows that innovation, to be sustainable, must be both environmentally and socially sustainable. From a systemic point of view, it examines the ability of players, particularly companies, to change their strategies in order to combine human well-being and respect for the environment in the context of ecological transition.
Author: Thomas Szirtes
Publisher: Butterworth-Heinemann
ISBN: 0080555454
Category : Technology & Engineering
Languages : en
Pages : 853
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Book Description
Applied Dimensional Analysis and Modeling provides the full mathematical background and step-by-step procedures for employing dimensional analyses, along with a wide range of applications to problems in engineering and applied science, such as fluid dynamics, heat flow, electromagnetics, astronomy and economics. This new edition offers additional worked-out examples in mechanics, physics, geometry, hydrodynamics, and biometry. Covers 4 essential aspects and applications: principal characteristics of dimensional systems, applications of dimensional techniques in engineering, mathematics and geometry, applications in biosciences, biometry and economics, applications in astronomy and physics Offers more than 250 worked-out examples and problems with solutions Provides detailed descriptions of techniques of both dimensional analysis and dimensional modeling
