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| making sense of data download: Machine Learning Peter Flach, 2012-09-20 Covering all the main approaches in state-of-the-art machine learning research, this will set a new standard as an introductory textbook. |
| making sense of data download: Making Sense of Data Set Glenn J. Myatt, 2009-05-26 Making Sense of Data: A Practical Guide to Exploratory Data Analysis and Data Mining by Glenn J. Myatt (978-0-470-07471-8), Making Sense of Data II: A Practical Guide to Data Visualization, Advanced Data Mining Methods, and Applications by Glenn J. Myatt and Wayne P. Johnson (978-0-470-22280-5), and Making Sense of Data III: A Practical Guide to Designing Interactive Data Visualizations by Glenn J. Myatt and Wayne P. Johnson (978-0-470-53649-0) |
| making sense of data download: Making Sense of Data I Glenn J. Myatt, Wayne P. Johnson, 2014-07-02 Praise for the First Edition “...a well-written book on data analysis and data mining that provides an excellent foundation...” —CHOICE “This is a must-read book for learning practical statistics and data analysis...” —Computing Reviews.com A proven go-to guide for data analysis, Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining, Second Edition focuses on basic data analysis approaches that are necessary to make timely and accurate decisions in a diverse range of projects. Based on the authors’ practical experience in implementing data analysis and data mining, the new edition provides clear explanations that guide readers from almost every field of study. In order to facilitate the needed steps when handling a data analysis or data mining project, a step-by-step approach aids professionals in carefully analyzing data and implementing results, leading to the development of smarter business decisions. The tools to summarize and interpret data in order to master data analysis are integrated throughout, and the Second Edition also features: Updated exercises for both manual and computer-aided implementation with accompanying worked examples New appendices with coverage on the freely available TraceisTM software, including tutorials using data from a variety of disciplines such as the social sciences, engineering, and finance New topical coverage on multiple linear regression and logistic regression to provide a range of widely used and transparent approaches Additional real-world examples of data preparation to establish a practical background for making decisions from data Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining, Second Edition is an excellent reference for researchers and professionals who need to achieve effective decision making from data. The Second Edition is also an ideal textbook for undergraduate and graduate-level courses in data analysis and data mining and is appropriate for cross-disciplinary courses found within computer science and engineering departments. |
| making sense of data download: Making Sense of Data III Glenn J. Myatt, Wayne P. Johnson, 2011-09-09 Focuses on insights, approaches, and techniques that are essential to designing interactive graphics and visualizations Making Sense of Data III: A Practical Guide to Designing Interactive Data Visualizations explores a diverse range of disciplines to explain how meaning from graphical representations is extracted. Additionally, the book describes the best approach for designing and implementing interactive graphics and visualizations that play a central role in data exploration and decision-support systems. Beginning with an introduction to visual perception, Making Sense of Data III features a brief history on the use of visualization in data exploration and an outline of the design process. Subsequent chapters explore the following key areas: Cognitive and Visual Systems describes how various drawings, maps, and diagrams known as external representations are understood and used to extend the mind's capabilities Graphics Representations introduces semiotic theory and discusses the seminal work of cartographer Jacques Bertin and the grammar of graphics as developed by Leland Wilkinson Designing Visual Interactions discusses the four stages of design process—analysis, design, prototyping, and evaluation—and covers the important principles and strategies for designing visual interfaces, information visualizations, and data graphics Hands-on: Creative Interactive Visualizations with Protovis provides an in-depth explanation of the capabilities of the Protovis toolkit and leads readers through the creation of a series of visualizations and graphics The final chapter includes step-by-step examples that illustrate the implementation of the discussed methods, and a series of exercises are provided to assist in learning the Protovis language. A related website features the source code for the presented software as well as examples and solutions for select exercises. Featuring research in psychology, vision science, statistics, and interaction design, Making Sense of Data III is an indispensable book for courses on data analysis and data mining at the upper-undergraduate and graduate levels. The book also serves as a valuable reference for computational statisticians, software engineers, researchers, and professionals of any discipline who would like to understand how the mind processes graphical representations. |
| making sense of data download: Getting Started with Data Science Murtaza Haider, 2015-12-14 Master Data Analytics Hands-On by Solving Fascinating Problems You’ll Actually Enjoy! Harvard Business Review recently called data science “The Sexiest Job of the 21st Century.” It’s not just sexy: For millions of managers, analysts, and students who need to solve real business problems, it’s indispensable. Unfortunately, there’s been nothing easy about learning data science–until now. Getting Started with Data Science takes its inspiration from worldwide best-sellers like Freakonomics and Malcolm Gladwell’s Outliers: It teaches through a powerful narrative packed with unforgettable stories. Murtaza Haider offers informative, jargon-free coverage of basic theory and technique, backed with plenty of vivid examples and hands-on practice opportunities. Everything’s software and platform agnostic, so you can learn data science whether you work with R, Stata, SPSS, or SAS. Best of all, Haider teaches a crucial skillset most data science books ignore: how to tell powerful stories using graphics and tables. Every chapter is built around real research challenges, so you’ll always know why you’re doing what you’re doing. You’ll master data science by answering fascinating questions, such as: • Are religious individuals more or less likely to have extramarital affairs? • Do attractive professors get better teaching evaluations? • Does the higher price of cigarettes deter smoking? • What determines housing prices more: lot size or the number of bedrooms? • How do teenagers and older people differ in the way they use social media? • Who is more likely to use online dating services? • Why do some purchase iPhones and others Blackberry devices? • Does the presence of children influence a family’s spending on alcohol? For each problem, you’ll walk through defining your question and the answers you’ll need; exploring how others have approached similar challenges; selecting your data and methods; generating your statistics; organizing your report; and telling your story. Throughout, the focus is squarely on what matters most: transforming data into insights that are clear, accurate, and can be acted upon. |
| making sense of data download: Making Sense of Data I Glenn J. Myatt, Wayne P. Johnson, 2014-08-11 Praise for the First Edition “...a well-written book on data analysis and data mining that provides an excellent foundation...” —CHOICE “This is a must-read book for learning practical statistics and data analysis...” —Computing Reviews.com A proven go-to guide for data analysis, Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining, Second Edition focuses on basic data analysis approaches that are necessary to make timely and accurate decisions in a diverse range of projects. Based on the authors’ practical experience in implementing data analysis and data mining, the new edition provides clear explanations that guide readers from almost every field of study. In order to facilitate the needed steps when handling a data analysis or data mining project, a step-by-step approach aids professionals in carefully analyzing data and implementing results, leading to the development of smarter business decisions. The tools to summarize and interpret data in order to master data analysis are integrated throughout, and the Second Edition also features: Updated exercises for both manual and computer-aided implementation with accompanying worked examples New appendices with coverage on the freely available TraceisTM software, including tutorials using data from a variety of disciplines such as the social sciences, engineering, and finance New topical coverage on multiple linear regression and logistic regression to provide a range of widely used and transparent approaches Additional real-world examples of data preparation to establish a practical background for making decisions from data Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining, Second Edition is an excellent reference for researchers and professionals who need to achieve effective decision making from data. The Second Edition is also an ideal textbook for undergraduate and graduate-level courses in data analysis and data mining and is appropriate for cross-disciplinary courses found within computer science and engineering departments. |
| making sense of data download: Making Sense of Mass Education Gordon Tait, 2013 Making Sense of Mass Education provides a comprehensive analysis of the field of mass education. The book presents new assessment of traditional issues associated with education - class, race, gender, discrimination and equity - to dispel myths and assumptions about the classroom. It examines the complex relationship between the media, popular culture and schooling, and places the expectations surrounding the modern teacher within ethical, legal and historical contexts. The book blurs some of the disciplinary boundaries within the field of education, drawing upon sociology, cultural studies, history, philosophy, ethics and jurisprudence to provide stronger analyses. The book reframes the sociology of education as a complex mosaic of cultural practices, forces and innovations. Engaging and contemporary, it is an invaluable resource for teacher education students, and anyone interested in a better understanding of mass education. |
| making sense of data download: Business Analysis and Design Paul Beynon-Davies, 2021-05-05 This textbook offers an essential introduction to design orientation in business, which impacts the way management is undertaken world-wide. Design orientation, as it applies to business, is the process through which a designer analyses business as a system, identifies motivation for changing the system, and designs improvement for the organisation, as well as ways of implementing this improvement. It involves strategic and innovative thinking, communication with key stakeholders, and change management. This book provides coverage of critical tools for design which enable business professionals to analyse existing ways of organizing and to design new ways of organizing. The reader will learn how to develop a digital business model to organize private, public or voluntary work. In doing so, the reader will learn to critically evaluate the notion of digital innovation and understand the proper place of ICT within organization. The reader will learn how to: critically evaluate the relevance of digital innovation to domains of organisation develop digital business models to organize private, public or voluntary work construct business strategy and relate it to business models, motivation models, innovation management and change management Written by an expert in the field, this book is designed for both students and professionals. Each chapter contains an introduction, a section of key reading, and a summary, while a number of cases based on real-life examples are worked through as examples in the text, demonstrating the real-life application of the design theory discussed. |
| making sense of data download: Markets for Good Selected Readings: Making Sense of Data and Information in the Social Sector Markets for Good, 2014-02-13 Markets for Good is an effort by the Bill & Melinda Gates Foundation, the William & Flora Hewlett Foundation, and the progressive financial firm Liquidnet to improve the system for generating, sharing, and acting upon data and information in the social sector. Our vision is of a social sector powered by information, where interventions are more effective and innovative, where capital flows efficiently to the organizations that are having the greatest impact, and where there is a dynamic culture of continuous learning and development. Over the past several years, Markets for Good has been a forum for discussion and collaboration among online giving platforms, nonprofit information providers, nonprofit evaluators, philanthropic advisors, and other entities working to improve the global philanthropic system and social sector. This effort has included over 50 people from more than 20 organizations. The website, MarketsforGood.org, and the work that we hope follows from it, is an outgrowth of what we have learned and observed through this collaboration. This retrospective collection of selected readings from our site includes an introduction by Jeff Raikes, CEO of the Bill & Melinda Gates Foundation, in which he highlights the continuing wave of efforts that will push our sector to achieve even greater impact. Following Jeff's introduction, the Markets for Good Collaboration Team recaps the first 15 months of the campaign, and how they expect Markets for Good to evolve going forward. The subsequent 17 posts and authors' updates provide a range of perspectives on the most critical data-related challenges facing the social sector, and how these challenges can be addressed. Posts were chosen for their high readership, topic diversity, and thought leadership. The authors debate new and recurring hurdles in the social sector, like capacity and capital constraints; how qualitative data, including stories and beneficiary insights, can be incorporated into data-driven decision processes; and big-, medium-, and small-data management. |
| making sense of data download: Making Sense of Prostitution J. Phoenix, 1999-03-08 This book provides a compelling analysis of the conditions in which women are sustained within prostitution in Britain at the end of the millennium. Based on a major empirical study, it is a unique glimpse into how some women, who live lives completely torn apart by poverty, violence and criminalization, are able to understand their lives in prostitution and make sense of the choices they make (including their involvement in prostitution) in their struggles to survive. |
| making sense of data download: Making Sense of Learning Norman Reid, Asma Amanat Ali, 2020-08-26 This textbook brings together findings from global research on teaching and learning, with an emphasis on secondary and higher education. The book is unique in that the content is selected in an original way and its presentation reflects the most recent research evidence related to understanding. The book covers and presents themes that are based tightly on worldwide research evidence, scrupulously avoiding opinion or any dependence on the personal experience of the authors. The book starts by reflecting on educational research itself. The four chapters that follow relate the story of the research that shows how all humans learn and the variations within that framework. These chapters offer a tight framework that underpins much of the rest of the text. The next four chapters look at the way school curricula are organised and how the performance of learners can be assessed. They summarise the research evidence related to thinking skills and consider the importance of practical teaching. This is followed by two chapters that draw from the extensive social psychology research on attitude development as it applies in education, and then by two chapters that summarise the research related to major issues of controversy: the performativity agenda and the issue of quality. One chapter looks at the place of statistics in education. The next two chapters look at the evidence that can support or undermine many typical education beliefs, or myths and mirages. Finally, the last chapter brings it all together and looks into the future, pointing to some areas where future research is likely to be helpful, based on current knowledge. |
| making sense of data download: The Data Detective Tim Harford, 2021-02-02 From “one of the great (greatest?) contemporary popular writers on economics” (Tyler Cowen) comes a smart, lively, and encouraging rethinking of how to use statistics. Today we think statistics are the enemy, numbers used to mislead and confuse us. That’s a mistake, Tim Harford says in The Data Detective. We shouldn’t be suspicious of statistics—we need to understand what they mean and how they can improve our lives: they are, at heart, human behavior seen through the prism of numbers and are often “the only way of grasping much of what is going on around us.” If we can toss aside our fears and learn to approach them clearly—understanding how our own preconceptions lead us astray—statistics can point to ways we can live better and work smarter. As “perhaps the best popular economics writer in the world” (New Statesman), Tim Harford is an expert at taking complicated ideas and untangling them for millions of readers. In The Data Detective, he uses new research in science and psychology to set out ten strategies for using statistics to erase our biases and replace them with new ideas that use virtues like patience, curiosity, and good sense to better understand ourselves and the world. As a result, The Data Detective is a big-idea book about statistics and human behavior that is fresh, unexpected, and insightful. |
| making sense of data download: Making Sense of Medical Statistics Munier Hossain, 2021-10-21 Do you want to know what a parametric test is and when not to perform one? Do you get confused between odds ratios and relative risks? Want to understand the difference between sensitivity and specificity? Would like to find out what the fuss is about Bayes' theorem? Then this book is for you! Physicians need to understand the principles behind medical statistics. They don't need to learn the formula. The software knows it already! This book explains the fundamental concepts of medical statistics so that the learner will become confident in performing the most commonly used statistical tests. Each chapter is rich in anecdotes, illustrations, questions, and answers. Not enough? There is more material online with links to free statistical software, webpages, multimedia content, a practice dataset to get hands-on with data analysis, and a Single Best Answer questionnaire for the exam. |
| making sense of data download: Making Sense of Data J. H. Abramson, Z. H. Abramson, 2001-09-06 This self-instructional manual on the interpretation and use of epidemiologic data deals with the basic concepts and skills needed for the appraisal of published reports or one's own findings. Applications in clinical medicine, public health, community medicine, and research are all taken into consideration. Making Sense of Data is designed as a workbook of short exercises and instructional self-tests that introduce fundamental approaches and procedures in data interpretation and develop competency in working with epidemiologic tools. Basic concepts are presented in the first section, which also demonstrates the step-by-step assessment of data. The next section discusses rates and other simple measures, and the third shows how to judge their accuracy. Section IV and V deal with more complex issues of associations between variables and the appraisal of cause-effect relationships. Section VI deals with meta-analysis (the critical review and integration of the findings from separate studies) and section VII with the questions to be asked before deciding to apply study results in practice. Numerous changes have been made in this edition, including the addition of a section on the practical application of epidemiological findings, discussions of new topics (Cox proportional hazards regression, qualitative studies, ROC curves), and fresh examples. |
| making sense of data download: Making Sense of Reality Tia DeNora, 2014-09-22 What is reality and how do we make sense of it in everyday life? Why do some realities seem more real than others, and what of seemingly contradictory and multiple realities? This book considers reality as we represent, perceive and experience it. It suggests that the realities we take as ‘real’ are the result of real-time, situated practices that draw on and draw together many things - technologies and objects, people, gestures, meanings and media. Examining these practices illuminates reality (or rather our sense of it) as always ‘virtually real’, that is simplified and artfully produced. This examination also shows us how the sense of reality that we make is nonetheless real in its consequences. Making Sense of Reality offers students and educators a guide to analysing social life. It develops a performance-based perspective (‘doing things with’) that highlights the ever-revised dimension of realities and links this perspective to a focus on object-relations and an ecological model of culture-in-action. |
| making sense of data download: Making Sense of NoSQL Dan McCreary, Ann Kelly, 2013-09-20 Summary Making Sense of NoSQL clearly and concisely explains the concepts, features, benefits, potential, and limitations of NoSQL technologies. Using examples and use cases, illustrations, and plain, jargon-free writing, this guide shows how you can effectively assemble a NoSQL solution to replace or augment the traditional RDBMS you have now. About this Book If you want to understand and perhaps start using the new data storage and analysis technologies that go beyond the SQL database model, this book is for you. Written in plain language suitable for technical managers and developers, and using many examples, use cases, and illustrations, this book explains the concepts, features, benefits, potential, and limitations of NoSQL. Making Sense of NoSQL starts by comparing familiar database concepts to the new NoSQL patterns that augment or replace them. Then, you'll explore case studies on big data, search, reliability, and business agility that apply these new patterns to today's business problems. You'll see how NoSQL systems can leverage the resources of modern cloud computing and multiple-CPU data centers. The final chaptersshow you how to choose the right NoSQL technologies for your own needs. Managers and developers will welcome this lucid overview of the potential and capabilities of NoSQL technologies. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. What's Inside NoSQL data architecture patterns NoSQL for big data Search, high availability, and security Choosing an architecture About the Authors Dan McCreary and Ann Kelly lead an independent training and consultancy firm focused on NoSQL solutions and are cofounders of the NoSQL Now! Conference. Table of Contents PART 1 INTRODUCTION NoSQL: It's about making intelligent choices NoSQL concepts PART 2 DATABASE PATTERNS Foundational data architecture patterns NoSQL data architecture patterns Native XML databases PART 3 NOSQL SOLUTIONS Using NoSQL to manage big data Finding information with NoSQL search Building high-availability solutions with NoSQL Increasing agility with NoSQL PART 4 ADVANCED TOPICS NoSQL and functional programming Security: protecting data in your NoSQL systems Selecting the right NoSQL solution |
| making sense of data download: Mining of Massive Datasets Jure Leskovec, Jurij Leskovec, Anand Rajaraman, Jeffrey David Ullman, 2014-11-13 Now in its second edition, this book focuses on practical algorithms for mining data from even the largest datasets. |
| making sense of data download: Making Sense of Heritability Neven Sesardic, 2005-10-13 In this book, Neven Sesardic defends the view that it is both possible and useful to measure the separate contributions of heredity and environment to the explanation of human psychological differences. He critically examines the view - very widely accepted by scientists, social scientists and philosophers of science - that heritability estimates have no causal implications and are devoid of any interest. In a series of clearly written chapters he introduces the reader to the problems and subjects the arguments to close philosophical scrutiny. His conclusion is that anti-heritability arguments are based on conceptual confusions and misunderstandings of behavioural genetics. His book is a fresh and compelling intervention in a very contentious debate. |
| making sense of data download: 0 Michael J. Graham, 2013-04-24 Your all-in-one solution to college and career readiness in the 21st century No doubt about it, technology is a necessity in the Common Core classroom. Enhance your curriculum and launch a stress-free implementation of the Common |
| making sense of data download: Making Sense of Quantum Mechanics Jean Bricmont, 2016-01-12 This book explains, in simple terms, with a minimum of mathematics, why things can appear to be in two places at the same time, why correlations between simultaneous events occurring far apart cannot be explained by local mechanisms, and why, nevertheless, the quantum theory can be understood in terms of matter in motion. No need to worry, as some people do, whether a cat can be both dead and alive, whether the moon is there when nobody looks at it, or whether quantum systems need an observer to acquire definite properties. The author’s inimitable and even humorous style makes the book a pleasure to read while bringing a new clarity to many of the longstanding puzzles of quantum physics. |
| making sense of data download: Making Sense of Science Steven Yearley, 2004-11-11 `Fluid, readable and accessible ... I found the overall quality of the book to be excellent. It provides an overview of major (and preceding) developments in the field of science studies. It examines landmark works, authors, concepts and approaches ... I will certainly use this book as one of the course texts′ Eileen Crist, Associate Professor, Science & Technology in Society, Virginia Tech Science is at the heart of contemporary society and is therefore central to the social sciences. Yet science studies has often encountered resistance from social scientists. This book attempts to remedy this by giving the most extensive, thorough and best argued account of the field and explaining to social scientists why science matters to them. This is a landmark book that demystifies science studies and successfully bridges the divide between social theory and the sociology of science. Illustrated with relevant, illuminating examples, it provides the ideal guide to science studies and social theory. |
| making sense of data download: Making Sense of Numbers Jane E. Miller, 2021-08-30 Making Sense of Numbers teaches students the skills they need to be both consumers and producers of quantitative research: able to read about, collect, calculate, and communicate numeric information for both everyday tasks and school or work assignments. The text teaches how to avoid making common errors of reasoning, calculation, or interpretation by introducing a systematic approach to working with numbers, showing students how to figure out what a particular number means. The text also demonstrates why it is important to apply a healthy dose of skepticism to the numbers we all encounter, so that we can understand how those numbers can (and cannot) be interpreted in their real-world context. Jane E. Miller uses annotated examples on a wide variety of topics to illustrate how to use new terms, concepts, and approaches to working with numbers. End-of-chapter engagement activities designed based on Miller’s three decades of teaching experience can be used in class or as homework assignments, with some for students to do individually and others intended for group discussion. The book is ideally suited for a range of courses, including quantitative reasoning, research methods, basic statistics, data analysis, and communicating quantitative information. An instructor website for the book includes a test bank, editable PowerPoint slides, and tables and figures from the book. |
| making sense of data download: Foundations of Data Science Avrim Blum, John Hopcroft, Ravindran Kannan, 2020-01-23 Covers mathematical and algorithmic foundations of data science: machine learning, high-dimensional geometry, and analysis of large networks. |
| making sense of data download: Making Sense of Genes Kostas Kampourakis, 2017-03-30 What are genes? What do genes do? These seemingly simple questions are in fact challenging to answer accurately. As a result, there are widespread misunderstandings and over-simplistic answers, which lead to common conceptions widely portrayed in the media, such as the existence of a gene 'for' a particular characteristic or disease. In reality, the DNA we inherit interacts continuously with the environment and functions differently as we age. What our parents hand down to us is just the beginning of our life story. This comprehensive book analyses and explains the gene concept, combining philosophical, historical, psychological and educational perspectives with current research in genetics and genomics. It summarises what we currently know and do not know about genes and the potential impact of genetics on all our lives. Making Sense of Genes is an accessible but rigorous introduction to contemporary genetics concepts for non-experts, undergraduate students, teachers and healthcare professionals. |
| making sense of data download: Making Sense of Large Social Media Corpora Antonio Moreno-Ortiz, 2024-04-29 This open access book offers a comprehensive overview of available techniques and approaches to explore large social media corpora, using as an illustrative case study the Coronavirus Twitter corpus. First, the author describes in detail a number of methods, strategies, and tools that can be used to access, manage, and explore large Twitter/X corpora, including both user-friendly applications and more advanced methods that involve the use of data management skills and custom programming scripts. He goes on to show how these tools and methods are applied to explore one of the largest Twitter datasets on the COVID-19 pandemic publicly released, covering the two years when the pandemic had the strongest impact on society. Specifically, keyword extraction, topic modelling, sentiment analysis, and hashtag analysis methods are described, contrasted, and applied to extract information from the Coronavirus Twitter Corpus. The book will be of interest to students and researchers in fields that make use of big data to address societal and linguistic concerns, including corpus linguistics, sociology, psychology, and economics. |
| making sense of data download: Making Sense of the ECG Andrew Houghton, 2019-10-08 Interpreting an ECG correctly and working out what to do next can seem like a daunting task to the non-specialist, yet it is a skill that will be invaluable to any doctor, nurse or paramedic when evaluating the condition of a patient. Making Sense of the ECG has been written specifically with this in mind, and will help the student and more experienced healthcare practitioner to identify and answer crucial questions. This popular, easy-to-read and easy-to-remember guide to the ECG as a tool for diagnosis and management has been fully updated in its fifth edition to reflect the latest guidelines. |
| making sense of data download: Social Work Research Heather D'Cruz, Martyn Jones, 2004-05-18 `This is a very useful introductory text...it is well structured, has a very accessible style, and guides students through exercises that are relevant and appropriate. The book is unique in that it goes beyond general textbooks and I will be very happy to recommend it to my students' - Beth Humphries, Reader in Social Work, Lancaster University The role of research in social work has become increasingly critical and relevant to training and practice. Social Work Research has been designed to address this and to demonstrate the importance of research for improving social work practice. Written in an engaging and accessible style, the book explains the links between practice, knowledge and research. It succeeds in bridging the gap between theory and reality by discussing a range of research paradigms and placing them in the context of professional social work. It also goes beyond other textbooks to discuss the political and ethical contexts that are intrinsic to social work practice. Other key features of the book include: · Fulfills QAA benchmarks in social work training - social work research is a required topic on undergraduate degrees. · Addresses topical issues such as the need for evidence-based practice and an awareness of ethics. · International in scope - draws upon international literature · Grounded in 'real-life' research through case studies · User-friendly and student-focused, it includes student exercises and further reading sections. Social Work Research will prove an invaluable resource for students, researchers and trainees undertaking research in social work. |
| making sense of data download: Making Sense of Moral Panics Sarah Wright Monod, 2017-10-06 This book offers a comprehensive framework for the study of moral panics. It provides an up-to-date overview of the history and development of the concept of panic, and discusses the key criticisms and debates that have stemmed from its use over the last four decades. While investigating the critical connections between crime reporting and panic development, Wright Monod also highlights the overall importance of social context, and social theory, for understanding episodes of moral panic. Two case studies – one on murdering teens, and the other on gangs and guns – are explored to demonstrate the efficacy of the framework, and five research phases for panic study are extensively analysed. Drawing on the nature of sensationalist media coverage, and considering the impact of new media ecosystems in panic development, this innovative study considers the shape of the field of moral panic scholarship today and, crucially, the directions in which its study is heading. This is an informed and original book which will appeal to scholars of risk, deviance, and criminal justice. |
| making sense of data download: Connections H. Peter Alesso, Craig F. Smith, 2008-01-18 In their fascinating analysis of the recent history of information technology, H. Peter Alesso and Craig F. Smith reveal the patterns in discovery and innovation that have brought us to the present tipping point. . . . A generation from now, every individual will have personally tailored access to the whole of knowledge . . . the sooner we all begin to think about how we got here, and where we're going, the better. This exciting book is an essential first step. —From the Foreword by James Burke Many people envision scientists as dispassionate characters who slavishly repeat experiments until eureka—something unexpected happens. Actually, there is a great deal more to the story of scientific discovery, but seeing the big picture is not easy. Connections: Patterns of Discovery uses the primary tools of forecasting and three archetypal patterns of discovery—Serendipity, Proof of Principle, and 1% Inspiration and 99% Perspiration—to discern relationships of past developments and synthesize a cohesive and compelling vision for the future. It challenges readers to think of the consequences of extrapolating trends, such as Moore's Law, to either reach real machine intelligence or retrench in the face of physical limitations. From this perspective,the book draws the big picture for the Information Revolution's innovations in chips, devices, software, and networks. With a Foreword by James Burke and bursting with fascinating detail throughout, Connections: Patterns of Discovery is a must-read for computer scientists, technologists, programmers, hardware and software developers, students, and anyone with an interest in tech-savvy topics. |
| making sense of data download: A Practical Approach to Supporting Science and Engineering Students with Self-Regulated Learning Erin E. Peters-Burton, 2023-11-16 Science and engineering practices tend to be more difficult to teach and monitor for student progress than content knowledge, because practices are skill based. This book presents tangible ways for teacher educators and teachers to design learning environments that involve student goal setting, monitoring, and reflection on their performance of science and engineering practices. It models ways teachers can support effective learning behaviors and monitor student progress in science and engineering practices. It also presents practical ways to set up preservice teacher instruction and inservice teacher professional development that address both self-regulated learning and science and engineering practices. Educational research designs are presented from qualitative, quantitative, and mixed methods traditions that investigate student and teacher engagement with science and engineering practices through self-regulated learning. |
| making sense of data download: Making Sense of Social Research Methodology Pengfei Zhao, Karen Ross, Peiwei Li, Barbara Dennis, 2021-01-11 Making Sense of Social Research Methodology: A Student and Practitioner Centered Approach introduces students to research methods by illuminating the underlying assumptions of social science inquiry. Authors Pengfei Zhao, Karen Ross, Peiwei Li, and Barbara Dennis show how research concepts are often an integral part of everyday life through illustrative common scenarios, like looking for a recipe or going on a job interview. The authors extrapolate from these personal but ubiquitous experiences to further explain concepts, like gathering data or social context, so students develop a deeper understanding of research and its applications outside of the classroom. Students from across the social sciences can take this new understanding into their own research, their professional lives, and their personal lives with a new sense of relevancy and urgency. This text is organized into clusters that center on major topics in social science research. The first cluster introduces concepts that are fundamental to all aspects and steps of the research process. These concepts include relationality, identity, ethics, epistemology, validity, and the sociopolitical context within which research occurs. The second and third clusters focus on data and inference. These clusters engage concretely with steps of the research process, including decisions about designing research, generating data, making inferences. Throughout the chapters, Pause and Reflect open-ended questions provide readers with the space for further inquiry into research concepts and how they apply to life. Research Scenario features in each chapter offer new perspectives on major research topics from leading and emerging voices in methods. Moving from this dialogic perspective to more actionable advice, You and Research features offer students concrete steps for engaging with research. Take your research into the world with Making Sense of Social Research Methodology: A Student and Practitioner Centered Approach. |
| making sense of data download: Making Sense of Cultural Studies Chris Barker, 2002-04-22 In Chris Barker's sequel to Cultural Studies, the author addresses the strengths and weaknesses of the discipline and investigates its practical and academic boundaries. The author also clarifies its underlying themes of study. |
| making sense of data download: Making Sense of War Alan Stephens, Nicola Baker, 2006-11-13 Making Sense of War provides a comprehensive and clear analysis of the complex business of waging war. It gives readers a thorough understanding of the key concepts in strategic thought, concepts that have endured since the Athenian general Thucydides and the Chinese philosopher/warrior Sun Tzu first wrote about strategy some 2500 years ago. It also examines the influence on strategic choice and military strategy of political, legal and technological change. This book discusses strategy at every level of competition, employing a thematic approach and using historical examples from 500 BCE to the present. It discusses the contraints and opportunities facing military commanders in the 21st century, and demonstrates that the formulation of military strategy will continue to be perhaps the single most important responsibility for senior security officials. Making Sense of War offers original insights into the imperatives of military success in the era of asymmetric warfare. |
| making sense of data download: Mathematics for Machine Learning Marc Peter Deisenroth, A. Aldo Faisal, Cheng Soon Ong, 2020-04-23 The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site. |
| making sense of data download: Making Sense of the Social World Daniel F. Chambliss, Russell K. Schutt, 2006-02-16 Provides an introduction to social research. This book presents research methods as an integrated whole, with balanced treatment of qualitative and quantitative methods, integration of substantive examples and research techniques, and consistent attention to the goal of validity and the standards of ethical practice. |
| making sense of data download: Making Sense of Factor Analysis Marjorie A. Pett, Nancy R. Lackey, John J. Sullivan, 2003-03-21 Many health care practitioners and researchers are aware of the need to employ factor analysis in order to develop more sensitive instruments for data collection. Unfortunately, factor analysis is not a unidimensional approach that is easily understood by even the most experienced of researchers. Making Sense of Factor Analysis: The Use of Factor Analysis for Instrument Development in Health Care Research presents a straightforward explanation of the complex statistical procedures involved in factor analysis. Authors Marjorie A. Pett, Nancy M. Lackey, and John J. Sullivan provide a step-by-step approach to analyzing data using statistical computer packages like SPSS and SAS. Emphasizing the interrelationship between factor analysis and test construction, the authors examine numerous practical and theoretical decisions that must be made to efficiently run and accurately interpret the outcomes of these sophisticated computer programs. This accessible volume will help both novice and experienced health care professionals to Increase their knowledge of the use of factor analysis in health care research Understand journal articles that report the use of factor analysis in test construction and instrument development Create new data collection instruments Examine the reliability and structure of existing health care instruments Interpret and report computer-generated output from a factor analysis run Making Sense of Factor Analysis: The Use of Factor Analysis for Instrument Development in Health Care Research offers a practical method for developing tests, validating instruments, and reporting outcomes through the use of factor analysis. To facilitate learning, the authors provide concrete testing examples, three appendices of additional information, and a glossary of key terms. Ideal for graduate level nursing students, this book is also an invaluable resource for health care researchers. |
| making sense of data download: Storytelling with Data Cole Nussbaumer Knaflic, 2015-10-09 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! |
| making sense of data download: Fundamentals of Data Science Sanjeev J. Wagh, Manisha S. Bhende, Anuradha D. Thakare, 2021-09-26 Fundamentals of Data Science is designed for students, academicians and practitioners with a complete walkthrough right from the foundational groundwork required to outlining all the concepts, techniques and tools required to understand Data Science. Data Science is an umbrella term for the non-traditional techniques and technologies that are required to collect, aggregate, process, and gain insights from massive datasets. This book offers all the processes, methodologies, various steps like data acquisition, pre-process, mining, prediction, and visualization tools for extracting insights from vast amounts of data by the use of various scientific methods, algorithms, and processes Readers will learn the steps necessary to create the application with SQl, NoSQL, Python, R, Matlab, Octave and Tablue. This book provides a stepwise approach to building solutions to data science applications right from understanding the fundamentals, performing data analytics to writing source code. All the concepts are discussed in simple English to help the community to become Data Scientist without much pre-requisite knowledge. Features : Simple strategies for developing statistical models that analyze data and detect patterns, trends, and relationships in data sets. Complete roadmap to Data Science approach with dedicatedsections which includes Fundamentals, Methodology and Tools. Focussed approach for learning and practice various Data Science Toolswith Sample code and examples for practice. Information is presented in an accessible way for students, researchers and academicians and professionals. |
| making sense of data download: Making Sense of the Cross David J. Lose, 2011 |
| making sense of data download: Computational Analysis of Storylines Tommaso Caselli, Eduard Hovy, Martha Palmer, Piek Vossen, 2021-11-25 A review of recent computational (deep learning) approaches to understanding news and nonfiction stories. |
MAKING Definition & Meaning - Merriam-Webster
The meaning of MAKING is the act or process of forming, causing, doing, or coming into being. How to use making in a sentence.
MAKING | English meaning - Cambridge Dictionary
MAKING definition: 1. the activity or process of producing something: 2. the things used to make or build something…. Learn more.
MAKING definition and meaning | Collins English Dictionary
The making of something is the act or process of producing or creating it. ...the director's book about the making of this movie. American English : making / ˈmeɪkɪŋ /
making noun - Definition, pictures, pronunciation and usage …
Definition of making noun in Oxford Advanced Learner's Dictionary. Meaning, pronunciation, picture, example sentences, grammar, usage notes, synonyms and more.
Making - definition of making by The Free Dictionary
making - (usually plural) the components needed for making or doing something; "the recipe listed all the makings for a chocolate cake"
What does maKing mean? - Definitions.net
Making refers to the process of creating, producing, or constructing something by using one's skills, knowledge, and resources. It typically involves taking raw materials, components, or …
Making or Makeing – Which is Correct? - Two Minute English
Nov 28, 2024 · For example, the verb ‘make’ becomes ‘making’, not ‘makeing’. This rule helps in other cases too, such as ‘write’ becoming ‘writing’. Remembering this simple rule can improve …
MAKING Definition & Meaning | Dictionary.com
Making definition: the act of a person or thing that makes.. See examples of MAKING used in a sentence.
making - WordReference.com Dictionary of English
making / ˈmeɪkɪŋ / n. the act of a person or thing that makes or the process of being made (in combination): watchmaking; be the making of ⇒ to cause the success of; in the making ⇒ in …
208 Synonyms & Antonyms for MAKING - Thesaurus.com
Find 208 different ways to say MAKING, along with antonyms, related words, and example sentences at Thesaurus.com.
MAKING Definition & Meaning - Merriam-Webster
The meaning of MAKING is the act or process of forming, causing, doing, or coming into being. How to use making in a sentence.
MAKING | English meaning - Cambridge Dictionary
MAKING definition: 1. the activity or process of producing something: 2. the things used to make or build something…. Learn more.
MAKING definition and meaning | Collins English Dictionary
The making of something is the act or process of producing or creating it. ...the director's book about the making of this movie. American English : making / ˈmeɪkɪŋ /
making noun - Definition, pictures, pronunciation and usage notes ...
Definition of making noun in Oxford Advanced Learner's Dictionary. Meaning, pronunciation, picture, example sentences, grammar, usage notes, synonyms and more.
Making - definition of making by The Free Dictionary
making - (usually plural) the components needed for making or doing something; "the recipe listed all the makings for a chocolate cake"
What does maKing mean? - Definitions.net
Making refers to the process of creating, producing, or constructing something by using one's skills, knowledge, and resources. It typically involves taking raw materials, components, or ideas and …
Making or Makeing – Which is Correct? - Two Minute English
Nov 28, 2024 · For example, the verb ‘make’ becomes ‘making’, not ‘makeing’. This rule helps in other cases too, such as ‘write’ becoming ‘writing’. Remembering this simple rule can improve …
MAKING Definition & Meaning | Dictionary.com
Making definition: the act of a person or thing that makes.. See examples of MAKING used in a sentence.
making - WordReference.com Dictionary of English
making / ˈmeɪkɪŋ / n. the act of a person or thing that makes or the process of being made (in combination): watchmaking; be the making of ⇒ to cause the success of; in the making ⇒ in the …
208 Synonyms & Antonyms for MAKING - Thesaurus.com
Find 208 different ways to say MAKING, along with antonyms, related words, and example sentences at Thesaurus.com.
