Data-driven science and engineering, Brunton, Steven L. (university Of Washington) Kutz
Автор: Precup Radu-Emil, Roman Raul-Cristian, Safaei Ali Название: Data-Driven Model-Free Controllers ISBN: 0367697300 ISBN-13(EAN): 9780367697303 Издательство: Taylor&Francis Рейтинг: Цена: 148010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book categorizes the wide area of data-driven model-free controllers, reveals the exact benefits of such controllers, and gives the in-depth theory and mathematical proofs behind them. Each chapter includes a section for presenting the theory and mathematical definitions as well as examples of the corresponding control algorithms.
Автор: Nuno Crato; Paolo Paruolo Название: Data-Driven Policy Impact Evaluation ISBN: 3030087034 ISBN-13(EAN): 9783030087036 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
In the light of better and more detailed administrative databases, this open access book provides statistical tools for evaluating the effects of public policies advocated by governments and public institutions. Experts from academia, national statistics offices and various research centers present modern econometric methods for an efficient data-driven policy evaluation and monitoring, assess the causal effects of policy measures and report on best practices of successful data management and usage. Topics include data confidentiality, data linkage, and national practices in policy areas such as public health, education and employment. It offers scholars as well as practitioners from public administrations, consultancy firms and nongovernmental organizations insights into counterfactual impact evaluation methods and the potential of data-based policy and program evaluation.
Автор: Frost Jim Название: Hypothesis Testing: An Intuitive Guide for Making Data Driven Decisions ISBN: 173543115X ISBN-13(EAN): 9781735431154 Издательство: Неизвестно Рейтинг: Цена: 31870.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: With a near 50% divorce rate in the United States, every parent who reads this book is either going through a divorce, has been divorced, is married to or living with someone who is divorced, or will go through one or more of his/her children`s divorces. Unlike books designed to enlighten parents about children`s reactions to divorce, A Parents` Guide to Child Custody is written for parents themselves. The book provides parents with an overview of the context within which custody is decided by courts today, including a chapter-by-chapter explanation of the factors that are considered by the court in rendering a custody decision. Part I opens the book with three brief case histories in which the reader is asked to put herself/himself in the place of the court by imaging what custody decisions they would make if they were the judge. This chapter is followed by an orientation to the three major factors that all courts consider in coming to a custody decision. Each subsequent chapter addresses the specific factors that are weighed by the court in its deliberations. Part II provides a more in-depth view of such topics as the factors considered by judges in coming to a custody decision, what to expect when undergoing a child custody evaluation, the use and pitfalls of psychological tests, the assessment of parental capacity, and strategies for countering false allegations. Part III reviews eight myths (i.e. commonly held misconceptions) about what is best for children, as well as guidelines for discussing custody with your children. Part IV provides insight into how best to deal with parental alienation, domestic violence, and obstruction of one parent`s access by the other parent after the court has ruled on custody. Part V concludes with eight sure-fire ways to lose custody as well as the custody evaluator`s recommendations in each of the three hypothetical cases presented in Part I. It is the author`s sincere hope that this book will help parents become better advocates for themselves and for their children.
Автор: Zhiwen Chen Название: Data-Driven Fault Detection for Industrial Processes ISBN: 3658167556 ISBN-13(EAN): 9783658167554 Издательство: Springer Рейтинг: Цена: 69870.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Zhiwen Chen aims to develop advanced fault detection (FD) methods for the monitoring of industrial processes.
Автор: Crato Название: Data-Driven Policy Impact Evaluation ISBN: 3319784609 ISBN-13(EAN): 9783319784601 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Experts from academia, national statistics offices and various research centers present modern econometric methods for an efficient data-driven policy evaluation and monitoring, assess the causal effects of policy measures and report on best practices of successful data management and usage.
Название: Biometrics in a data driven world ISBN: 0367574071 ISBN-13(EAN): 9780367574079 Издательство: Taylor&Francis Рейтинг: Цена: 45930.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book is a compilation of important topics in biometrics-based authentication, with a focus on new trends such as applications in mobile platforms, social media, healthcare, etc. One of the main challenges that the book addresses is the effect of quality on biometric samples, both in traditional and mobile applications - what kinds of noise
Автор: Steven L. Brunton, J. Nathan Kutz Название: Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control ISBN: 1108422098 ISBN-13(EAN): 9781108422093 Издательство: Amazon Internet Рейтинг: Цена: 0.00 T Наличие на складе: Невозможна поставка. Описание: Data-driven discovery is revolutionizing the modeling, prediction, and control of complex systems. Aimed at advanced undergraduate and beginning graduate students, this textbook provides an integrated viewpoint that shows how to apply emerging methods from data science, data mining, and machine learning to engineering and the physical sciences.
Автор: Concha Bielza, Pedro Larranaga Название: Data-Driven Computational Neuroscience: Machine Learning and Statistical Models ISBN: 110849370X ISBN-13(EAN): 9781108493703 Издательство: Cambridge Academ Рейтинг: Цена: 85530.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Data-driven computational neuroscience facilitates the transformation of data into insights into the structure and functions of the brain. This modern treatment of real world cases offers neuroscience researchers and graduate students a comprehensive, in-depth guide to statistical and machine learning methods.
Автор: Si Xiao-Sheng, Zhang Zheng-Xin, Hu Chang-Hua Название: Data-Driven Remaining Useful Life Prognosis Techniques: Stochastic Models, Methods and Applications ISBN: 3662571730 ISBN-13(EAN): 9783662571736 Издательство: Springer Рейтинг: Цена: 158380.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book introduces data-driven remaining useful life prognosis techniques, and shows how to utilize the condition monitoring data to predict the remaining useful life of stochastic degrading systems and to schedule maintenance and logistics plans.
This book addresses the needs of researchers and practitioners in the field of high-speed trains, especially those whose work involves safety and reliability issues in traction systems. It will appeal to researchers and graduate students at institutions of higher learning, research labs, and in the industrial R&D sector, catering to a readership from a broad range of disciplines including intelligent transportation, electrical engineering, mechanical engineering, chemical engineering, the biological sciences and engineering, economics, ecology, and the mathematical sciences.
Автор: Bowen, Claire Mckay Название: Protecting your privacy in a data-driven world ISBN: 0367640740 ISBN-13(EAN): 9780367640743 Издательство: Taylor&Francis Рейтинг: Цена: 25510.00 T Наличие на складе: Невозможна поставка. Описание: Does sacrifice to personal information outweigh public good? Access to personal and confidential data allows for more evidence-based, data-informed decisions that can accelerate economic recovery, improve COVID-19 vaccine distribution. However, access comes at a steep privacy cost for contributors, especially underrepresented groups.
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