Multidimensional Data Visualization

When machine learning engineers work with data sets, they may find the results aren't as good as they need. Instead of improving the model or collecting more data, they can use the feature engineering process to help improve results by modifying the data's features to better capture the nature of the problem. This practical guide to feature engineering is an essential addition to any data scientist's or machine learning engineer's toolbox, providing new ideas on how to improve the performance of a machine learning solution. Beginning with the basic concepts and techniques, the text builds up to a unique cross-domain approach that spans data on graphs, texts, time series, and images, with fully worked out case studies. Key topics include binning, out-of-fold estimation, feature selection, dimensionality reduction, and encoding variable-length data. The full source code for the case studies is available on a companion website as Python Jupyter notebooks.

The transition from the analogue to the digital age has radically changed our present. The global flow of data shapes social systems, but the circulation and processing of data does not seem to be lin

This Progress with Oxford Numbers and Data Handling Age 8-9 workbook will help your child to progress with these core maths skills while having fun so they will become confident with using numbers an

'This marvellous book will transform your relationship with the numbers that swirl all around us' TIM HARFORD, author of The Undercover EconomistStatistics has played a leading role in our scientific understanding of the world for centuries, yet we are all familiar with the way statistical claims can be sensationalised, particularly in the media. In the age of big data, as data science becomes established as a discipline, a basic grasp of statistical literacy is more important than ever. In The Art of Statistics, David Spiegelhalter guides the reader through the essential principles we need in order to derive knowledge from data.Drawing on real world problems to introduce conceptual issues, he shows us how statistics can help us determine the luckiest passenger on the Titanic, whether serial killer Harold Shipman could have been caught earlier, and if screening for ovarian cancer is beneficial. How many trees are there on the planet? Do busier hospitals have higher survival rates? Why

Interpreting and applying macroeconomic analysis to the global economic environment and understanding the tools used to do so is fundamental to making good managerial decisions. Presuming no background in economic theory and prioritizing international application, this textbook introduces macroeconomics to business students. It explains how to understand domestic and global macroeconomic developments, policies, and data, and makes extensive use of case studies and data sets to present modern macroeconomics in a globalized world. Each chapter has several specific data exercises and practices as well as an international application focusing on the global perspective. By providing a host of international material, this book is useful for instructors and students around the globe.

Interpreting and applying macroeconomic analysis to the global economic environment and understanding the tools used to do so is fundamental to making good managerial decisions. Presuming no background in economic theory and prioritizing international application, this textbook introduces macroeconomics to business students. It explains how to understand domestic and global macroeconomic developments, policies, and data, and makes extensive use of case studies and data sets to present modern macroeconomics in a globalized world. Each chapter has several specific data exercises and practices as well as an international application focusing on the global perspective. By providing a host of international material, this book is useful for instructors and students around the globe.

Varieties of Democracy is the essential user's guide to The Varieties of Democracy project (V-Dem), one of the most ambitious data collection efforts in comparative politics. This global research collaboration sparked a dramatic change in how we study the nature, causes, and consequences of democracy. This book is ambitious in scope: more than a reference guide, it raises standards for causal inferences in democratization research and introduces new, measurable, concepts of democracy and many political institutions. Varieties of Democracy enables anyone interested in democracy - teachers, students, journalists, activists, researchers and others - to analyze V-Dem data in new and exciting ways. This book creates opportunities for V-Dem data to be used in education, research, news analysis, advocacy, policy work, and elsewhere. V-Dem is rapidly becoming the preferred source for democracy data.

Directional data arise in the form of circular / semicircular / axial, symmetric / asymmetric, uni / bimodal data, in practical situations of varied fields. For the purpose of modeling such kind of da

In this multidisciplinary book, experts from around the globe examine how data-driven political campaigning works, what challenges it poses for personal privacy and democracy, and how emerging practic

Responding to the developments of the past twenty years, Les Kirkup has thoroughly updated his popular book on experimental methods, while retaining the extensive coverage and practical advice from the first edition. Many topics from that edition remain, including keeping a record of work, how to deal with measurement uncertainties, understanding the statistical basis of data analysis and reporting the results of experiments. However, with new technologies influencing how experiments are devised, carried out, analyzed, presented and reported, this new edition reflects the digital changes which have taken place and the increased emphasis on the importance of communication skills in reporting results. Bringing together key elements of experimental methods into one coherent book, it is perfect for students seeking guidance with their experimental work, including how to acquire, analyse and present data. Exercises, worked examples and end-of-chapter problems are provided throughout the boo

The book will start with an examination of the foundations of kdb+/q and will proceed to consider the practicalities of dealing with real high-frequency data, and then demonstrate how kdb+/q can be us

Evaluation for Health Policy and Health Care: A Contemporary Data-Driven Approach explores the best practices and applications for producing, synthesizing, visualizing, using, and disseminating health

Qualitative and Mixed Methods Data Analysis Using Dedoose®: A Practical Approach for Research Across the Social Sciences provides both new and experienced researchers with a guided introduction to dea

In this explosive memoir, a political consultant and technology whistleblower reveals the disturbing truth about the multi-billion-dollar data industry, revealing to the public how companies are getti

Despite advancements in and availability of corpus software in language classrooms facilitating data-driven learning (DDL), the use of such methods with pre-tertiary learners remains rare. This book s

Written by experts at the UK Data Archive, with over thirty years of experience in working with and teaching people to work with data, this book is the globally-reaching guide for any postgraduate stu

Award-winning poet and essayist Anne Boyer delivers a one-of-a-kind meditation on illness in the age of data—sharing her true story of coping with cancer, both the illness and the industry, in The Und

This volume helps to fill the gap between data analytics, image processing, and soft computing practices. Soft computing methods are used to focus on data analytics and image processing to develop goo

The definitive guide to statistical thinkingStatistics are everywhere, as integral to science as they are to business, and in the popular media hundreds of times a day. In this age of big data, a basi

A clear introduction to lexical-functional grammar (LFG), this outstanding textbook sets out a formal approach to the study of language using a step-by-step approach and rich language data. Data from English and a range of other languages is used to illustrate the main concepts, allowing those students not accustomed to working with cross-linguistic data to familiarize themselves with the theory, while also enabling those interested in how the theory can account for more challenging data sets to extend their learning. Exercises ranging from simple technical questions to analyses of a data set, as well as a further resources section with a literature review complete each chapter. The book aims to equip readers with the skills to analyze new data sets and to begin to engage with the primary LFG literature.

A clear introduction to lexical-functional grammar (LFG), this outstanding textbook sets out a formal approach to the study of language using a step-by-step approach and rich language data. Data from English and a range of other languages is used to illustrate the main concepts, allowing those students not accustomed to working with cross-linguistic data to familiarize themselves with the theory, while also enabling those interested in how the theory can account for more challenging data sets to extend their learning. Exercises ranging from simple technical questions to analyses of a data set, as well as a further resources section with a literature review complete each chapter. The book aims to equip readers with the skills to analyze new data sets and to begin to engage with the primary LFG literature.

Just about any social need is now met with an opportuniy to "connect" through digital means. But this convenience is not free—it is purchased with vast amounts of personal data transferred through sha

Just about any social need is now met with an opportuniy to "connect" through digital means. But this convenience is not free—it is purchased with vast amounts of personal data transferred through sha

Interviews are often seen as a quick, cheap, and seemingly low-stress data collection method, but once students obtain data, they can be overwhelmed at the amount of information they have to manage, s

Most people today have cell phones. People rely on cell phones for communication. Cell phones also store a lot of personal data. Cell Phone Privacy explores how people can protect this data. Easy-to-r

This book provides the users with quick and easy data acquisition, processing, storage and product generation services. It describes the entire life cycle of remote sensing data and builds an entire h

The Handbook of U.S. Labor Statistics: Employment, Earnings, Prices, Productivity, and Other Labor Data continues and enhances the Bureau of Labor Statistics's (BLS) discontinued publication, Labo

Harry Potter fans contribute their immaterial and affective labor in multiple arenas: as peer-to-peer marketers via fan sites and social media; as participants in amateur fan festivals; or as activists for social change. Fans' participation in the Harry Potter universe has contributed to its success. This Element examines how fans' labor might continue to support the franchise for future readers. Starting with the context and theoretical frameworks that support a multidimensional analysis of the Harry Potter fan experience, this Element examines tensions between fans and Warner Bros., as fan participation tests the limits of corporate control.

We are now acutely aware, as if all of the sudden, that data matters enormously to how we live. How did information come to be so integral to what we can do? How did we become people who effortlessly

Using secondary data offers unique challenges. In this practical guide, the authors take you through finding, managing and analysing secondary data in an error-free way, using quantitative and qualita

Using secondary data offers unique challenges. In this practical guide, the authors take you through finding, managing and analysing secondary data in an error-free way, using quantitative and qualita

Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everything you need to do statistical work, but its s

We are now acutely aware, as if all of the sudden, that data matters enormously to how we live. How did information come to be so integral to what we can do? How did we become people who effortlessly

This volume describes how controlled-source electromagnetic (CSEM) methods are used to determine the electrical conductivity and hydrocarbon content of the upper few kilometres of the Earth, on land and at sea. The authors show how the signal-to-noise ratio of the measured data may be maximised via suitable choice of acquisition and processing parameters and selection of subsequent data analysis procedures. Complete impulse responses for every electric and magnetic source and receiver configuration are derived, providing a guide to the expected response for real data. 1-D, 2-D and 3-D modelling and inversion procedures for recovery of Earth conductivity are presented, emphasising the importance of updating model parameters using complementary geophysical data and rock physics relations. Requiring no specialist prior knowledge of electromagnetic theory, and providing a step-by-step guide through the necessary mathematics, this book provides an accessible introduction for advanced studen

The Educational Leader’s Guide to Improvement Science: Data, Design and Cases for Reflection is a collection illustrating applied organizational problem-solving using methods of Improvement Scien

This reader-friendly textbook presents a comprehensive review of the essentials of image data mining, and the latest cutting-edge techniques used in the field. The coverage spans all aspects of image

Data and algorithms are changing our life. The awareness of importance and pervasiveness of the digital revolution is the primary element from which to start a path of knowledge to grasp what is happe

A book about what the Cambridge Analytica scandal shows: That surveillance and data privacy is every citizens’ concernAn important look at how 50 years of American privacy law is inadequate for

The first machine-learning guide that helps you understand customers, frame decisions, and drive value Business Data Science reveals the best ways for utilizing machine learning (ML) to mak

Carry out data analysis with PySpark SQL, graphframes, and graph data processing using a problem-solution approach. This book provides solutions to problems related to dataframes, data manipulation su