Author : Stanley Francis Schmidt
Publisher :
Page : 116 pages
File Size : 32,30 MB
Release : 1959
Category : Laplace transformation
ISBN :
Author : United States. Department of the Army
Publisher :
Page : 22 pages
File Size : 18,76 MB
Release : 1984
Category :
ISBN :
Author : Kate Horsfield
Publisher : Wide Angle Books
Page : 350 pages
File Size : 20,70 MB
Release : 2006
Category : Performing Arts
ISBN : 9781592131822
Founded at the inception of the media arts movement, the Video Data Bank is the leading collection of videos by and about contemporary artists. These holdings, catalogued in print for the first time, constitute the history of media arts. In addition to the catalog of holdings, Feedback also includes essays on the history of media arts, the Video Data Bank, video activism, experimental performance art, and the special collection of the Data Bank, the On Art and Artists Collection. An indispensable guide and reference for artist, students, teachers, and collectors, Feedback is an essential book for any film and video bookshelf.
Author : Erin Marie Furtak
Publisher :
Page : 0 pages
File Size : 36,11 MB
Release : 2016
Category : Education
ISBN : 9781941316146
The Feedback Loop describes a process by which you design formative assessments of what you do and collect a variety of forms of data. Then, the book shows you ways to actually use the information to improve your teaching. Written by veteran classroom teachers, the guide offers practical ideas for middle and high school teachers, regardless of discipline. The first chapters introduce the Feedback Loop framework; highlight the four elements of goals, tools, data, and inferences; and explore how to close the loop by connecting inferences and goals through feedback. Later chapters show how to use the full loop to inform your instruction. The book supports the Next Generation Science Standards and includes classroom vignettes that ground the ideas in real-life situations.
Author : Catherine D'Ignazio
Publisher : MIT Press
Page : 328 pages
File Size : 25,5 MB
Release : 2020-03-31
Category : Social Science
ISBN : 0262358530
A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism. Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police, and surveil. This potential for good, on the one hand, and harm, on the other, makes it essential to ask: Data science by whom? Data science for whom? Data science with whose interests in mind? The narratives around big data and data science are overwhelmingly white, male, and techno-heroic. In Data Feminism, Catherine D'Ignazio and Lauren Klein present a new way of thinking about data science and data ethics—one that is informed by intersectional feminist thought. Illustrating data feminism in action, D'Ignazio and Klein show how challenges to the male/female binary can help challenge other hierarchical (and empirically wrong) classification systems. They explain how, for example, an understanding of emotion can expand our ideas about effective data visualization, and how the concept of invisible labor can expose the significant human efforts required by our automated systems. And they show why the data never, ever “speak for themselves.” Data Feminism offers strategies for data scientists seeking to learn how feminism can help them work toward justice, and for feminists who want to focus their efforts on the growing field of data science. But Data Feminism is about much more than gender. It is about power, about who has it and who doesn't, and about how those differentials of power can be challenged and changed.
Author : Mangalore Anantha Pai
Publisher :
Page : 226 pages
File Size : 25,63 MB
Release : 1961
Category : Data transmission systems
ISBN :
Various techniques are available for the analysis of nonlinear sampled-data systems. Most of these methods use either the phase plane approach or the describing function technique. Since the performance of such a system is described, at sampling instants, by means of a difference equation, an approach based on the difference equation would seem to be both natural and direct. The principle of complex convolution for a transform is explained and its geometrical interpretation is given. It is shown how the application of the convolution transform is both direct and simple with respect to solving nonlinear difference equations when the equation is given in scalar form. Dependence of the convergence of the solution on the initial value and the degree of nonlinearity is pointed out. It is concluded that for difference equations of second order and higher, this method involves too much laborious computation to justify its use. A simple method is presented for examining free oscillations in a sampled-data system containing either relay or a saturating amplifier. In addition, a certain analytical technique, analogous to that for differential equations, is developed to investigate the stability of forced oscillations for certain types of nonlinear difference equations. (Author).
Author : Cole Nussbaumer Knaflic
Publisher : John Wiley & Sons
Page : 284 pages
File Size : 49,1 MB
Release : 2015-10-09
Category : Mathematics
ISBN : 1119002265
Don't simply show your data—tell a story with it! Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples—ready for immediate application to your next graph or presentation. Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Specifically, you'll learn how to: Understand the importance of context and audience Determine the appropriate type of graph for your situation Recognize and eliminate the clutter clouding your information Direct your audience's attention to the most important parts of your data Think like a designer and utilize concepts of design in data visualization Leverage the power of storytelling to help your message resonate with your audience Together, the lessons in this book will help you turn your data into high impact visual stories that stick with your audience. Rid your world of ineffective graphs, one exploding 3D pie chart at a time. There is a story in your data—Storytelling with Data will give you the skills and power to tell it!
Author : Alexia Briassouli
Publisher : Springer
Page : 284 pages
File Size : 50,8 MB
Release : 2015-07-01
Category : Computers
ISBN : 3319179632
This book presents how multimedia data analysis, information retrieval and indexing are central for comprehensive, personalized, adaptive quality care and the prolongation of independent living at home. With sophisticated technologies in monitoring, diagnosis, and treatment, multimodal data plays an increasingly central role in healthcare. Experts in computer vision, image processing, medical imaging, biomedical engineering, medical informatics, physical education and motor control, visual learning, nursing and human sciences, information retrieval, content based image retrieval, eHealth, information fusion, multimedia communications and human computer interaction come together to provide a thorough overview of multimedia analysis in medicine and daily life.
Author : Douglas Stone
Publisher : Penguin
Page : 370 pages
File Size : 30,49 MB
Release : 2015-03-31
Category : Business & Economics
ISBN : 0143127136
The coauthors of the New York Times–bestselling Difficult Conversations take on the toughest topic of all: how we see ourselves Douglas Stone and Sheila Heen have spent the past fifteen years working with corporations, nonprofits, governments, and families to determine what helps us learn and what gets in our way. In Thanks for the Feedback, they explain why receiving feedback is so crucial yet so challenging, offering a simple framework and powerful tools to help us take on life’s blizzard of offhand comments, annual evaluations, and unsolicited input with curiosity and grace. They blend the latest insights from neuroscience and psychology with practical, hard-headed advice. Thanks for the Feedback is destined to become a classic in the fields of leadership, organizational behavior, and education.
Author : Craig A. Hill
Publisher : John Wiley & Sons
Page : 784 pages
File Size : 30,24 MB
Release : 2020-09-29
Category : Social Science
ISBN : 1118976320
Offers a clear view of the utility and place for survey data within the broader Big Data ecosystem This book presents a collection of snapshots from two sides of the Big Data perspective. It assembles an array of tangible tools, methods, and approaches that illustrate how Big Data sources and methods are being used in the survey and social sciences to improve official statistics and estimates for human populations. It also provides examples of how survey data are being used to evaluate and improve the quality of insights derived from Big Data. Big Data Meets Survey Science: A Collection of Innovative Methods shows how survey data and Big Data are used together for the benefit of one or more sources of data, with numerous chapters providing consistent illustrations and examples of survey data enriching the evaluation of Big Data sources. Examples of how machine learning, data mining, and other data science techniques are inserted into virtually every stage of the survey lifecycle are presented. Topics covered include: Total Error Frameworks for Found Data; Performance and Sensitivities of Home Detection on Mobile Phone Data; Assessing Community Wellbeing Using Google Street View and Satellite Imagery; Using Surveys to Build and Assess RBS Religious Flag; and more. Presents groundbreaking survey methods being utilized today in the field of Big Data Explores how machine learning methods can be applied to the design, collection, and analysis of social science data Filled with examples and illustrations that show how survey data benefits Big Data evaluation Covers methods and applications used in combining Big Data with survey statistics Examines regulations as well as ethical and privacy issues Big Data Meets Survey Science: A Collection of Innovative Methods is an excellent book for both the survey and social science communities as they learn to capitalize on this new revolution. It will also appeal to the broader data and computer science communities looking for new areas of application for emerging methods and data sources.
