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| Author | : Victoria Bernhardt |
| Publisher | : Routledge |
| Total Pages | : 129 |
| Release | : 2013-11-20 |
| Genre | : Education |
| ISBN | : 1317930770 |
The latest book from best-selling author Victoria L. Bernhardt is an easy-to-read primer that describes what it takes to achieve student learning growth at every grade level, in every subject area, and with every student group.
| Author | : Victoria L. Bernhardt |
| Publisher | : Routledge |
| Total Pages | : 116 |
| Release | : 2015-08-14 |
| Genre | : Education |
| ISBN | : 1317432061 |
The latest book from best-selling author Victoria L. Bernhardt is an easy-to-read primer that describes what it takes to achieve student learning growth at every grade level, in every subject area, and with every student group. In this new edition, readers will learn how to use data to inform their continuous school improvement as they develop an appreciation of the various types of data, uses for data, and how data are involved in the process. This accessible, updated edition provides a wealth of straightforward and accessible strategies that will allow educators to become comfortable with the many uses of data in increasing student improvement. Data, Data Everywhere, 2nd edition, provides a framework and summary of the continuous school improvement framework. It is a perfect resource for teachers, administrators, support staff, and students of leadership to guide comprehensive school improvement that will make a difference for all students.
| Author | : Victoria L. Bernhardt |
| Publisher | : Routledge |
| Total Pages | : 97 |
| Release | : 2015-08-14 |
| Genre | : Education |
| ISBN | : 1317432053 |
The latest book from best-selling author Victoria L. Bernhardt is an easy-to-read primer that describes what it takes to achieve student learning growth at every grade level, in every subject area, and with every student group. In this new edition, readers will learn how to use data to inform their continuous school improvement as they develop an appreciation of the various types of data, uses for data, and how data are involved in the process. This accessible, updated edition provides a wealth of straightforward and accessible strategies that will allow educators to become comfortable with the many uses of data in increasing student improvement. Data, Data Everywhere, 2nd edition, provides a framework and summary of the continuous school improvement framework. It is a perfect resource for teachers, administrators, support staff, and students of leadership to guide comprehensive school improvement that will make a difference for all students.
| Author | : Richard Cooper |
| Publisher | : Springer |
| Total Pages | : 262 |
| Release | : 2007-08-19 |
| Genre | : Computers |
| ISBN | : 3540733906 |
This book features the refereed proceedings from the 24th British National Conference on Databases, held in Glasgow, Scotland in July 2007. The eighteen full papers and seven poster papers are presented, together with two invited contributions. Papers are organized into topical sections covering data applications, searching XML documents, querying XML documents, XML transformation, clustering and security, data mining, and extraction.
| Author | : Colleen M. Flood |
| Publisher | : Queen's School of Policy Studies |
| Total Pages | : 0 |
| Release | : 2011 |
| Genre | : Confidential communications |
| ISBN | : 9781553392361 |
Hospitals, doctors' offices, and pharmacies are sitting on some very valuable information - your medical information. As health-care providers enter the digital world and computerize their patients' records in an effort to improve the efficiency and quality of care, they are also building a valuable health research tool. The files in their databases may contain the answers to many medical questions we currently face, but they also contain private information that could potentially be misused.Data Data Everywherehighlights the challenges that lie ahead and proposes a framework for striking a balance between the benefits of allowing researchers to access medical information and the privacy concerns of individuals. In addition to contributing towards a sustainable model for secondary use of data in health research, the book also contributes significantly to research in this field and serves as an essential comparative reference for similar jurisdictions.Contributorsinclude Wendy Armstrong (Consumers' Association of Canada, Alberta), Penny Ballem (Consultant), David Henry (Institute for Clinical Evaluative Sciences), Alan Katz (Manitoba Centre for Health Policy), Pat Kosseim (Genome Canada), Shoo Lee (Mount Sinai Hospital, Toronto), Steven Lewis (Consultant), Lisa Lix (University of Saskatchewan), William Lowrance (Consultant), Pat Martens (Manitoba Centre for Health Policy), Dale McMurchy (Consultant), Andrew F. Nelson (Health Partners Research Foundation), Robert Ouellet (Canadian Medical Association), Dorothy Pringle (University of Toronto), Robert J. Reid (Group Health Centre for Health Studies), Valerie Steeves (University of Ottawa), Terry Sullivan (Cancer Care Ontario), Simon Sutcliffe (British Columbia Cancer Agency), Robyn Tamblyn (McGill University), Jack Tu (Institute for Clinical Evaluative Studies), Don Willison (McMaster University), Michael Wolfson (Statistics Canada), and Glenda Yeates (Canadian Institute for Health Information).
| Author | : Giorgia Lupi |
| Publisher | : Chronicle Books |
| Total Pages | : 304 |
| Release | : 2016-09-13 |
| Genre | : Design |
| ISBN | : 1616895462 |
Equal parts mail art, data visualization, and affectionate correspondence, Dear Data celebrates "the infinitesimal, incomplete, imperfect, yet exquisitely human details of life," in the words of Maria Popova (Brain Pickings), who introduces this charming and graphically powerful book. For one year, Giorgia Lupi, an Italian living in New York, and Stefanie Posavec, an American in London, mapped the particulars of their daily lives as a series of hand-drawn postcards they exchanged via mail weekly—small portraits as full of emotion as they are data, both mundane and magical. Dear Data reproduces in pinpoint detail the full year's set of cards, front and back, providing a remarkable portrait of two artists connected by their attention to the details of their lives—including complaints, distractions, phone addictions, physical contact, and desires. These details illuminate the lives of two remarkable young women and also inspire us to map our own lives, including specific suggestions on what data to draw and how. A captivating and unique book for designers, artists, correspondents, friends, and lovers everywhere.
| Author | : Avrim Blum |
| Publisher | : Cambridge University Press |
| Total Pages | : 433 |
| Release | : 2020-01-23 |
| Genre | : Computers |
| ISBN | : 1108617360 |
This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data.
| Author | : Peter C. Verhoef |
| Publisher | : Routledge |
| Total Pages | : 339 |
| Release | : 2016-01-08 |
| Genre | : Business & Economics |
| ISBN | : 1317561929 |
Our newly digital world is generating an almost unimaginable amount of data about all of us. Such a vast amount of data is useless without plans and strategies that are designed to cope with its size and complexity, and which enable organisations to leverage the information to create value. This book is a refreshingly practical, yet theoretically sound roadmap to leveraging big data and analytics. Creating Value with Big Data Analytics provides a nuanced view of big data development, arguing that big data in itself is not a revolution but an evolution of the increasing availability of data that has been observed in recent times. Building on the authors’ extensive academic and practical knowledge, this book aims to provide managers and analysts with strategic directions and practical analytical solutions on how to create value from existing and new big data. By tying data and analytics to specific goals and processes for implementation, this is a much-needed book that will be essential reading for students and specialists of data analytics, marketing research, and customer relationship management.
| Author | : Robert A. Donnelly |
| Publisher | : Penguin |
| Total Pages | : 404 |
| Release | : 2004 |
| Genre | : Mathematics |
| ISBN | : 9781592571994 |
Offers an introduction to statistics, covering concepts and formulas, interpretation of data through different types of charts, using computer applications to simplify things, and more advanced topics.
| Author | : Victoria L. Bernhardt |
| Publisher | : Routledge |
| Total Pages | : 555 |
| Release | : 2017-09-19 |
| Genre | : Education |
| ISBN | : 1351587854 |
Data Analysis for Continuous School Improvement provides a new definition of school improvement, away from a singular focus on compliance, toward a true commitment to excellence. This book is a call to action. It is about inspiring schools and school districts to commit to continuous school improvement by providing a framework that will result in improving teaching for every teacher and learning for every student through the comprehensive use of data. A culmination of over 30 years of doing the hard work in schools and districts both nationally and internationally, Data Analysis for Continuous School Improvement shares new, evidence-based learnings about how to analyze, report, communicate, and use multiple measures of data. The updated edition provides a wealth of tools, protocols, timelines, examples, and strategies that will help schools and districts become genuine learning organizations.
