Java Data Object

A wildly imaginative story by the acclaimed author-illustrator Shinsuke Yoshitake Have you ever wanted something that was just yours? Not someone else's hand-me-down... Not something that you had to share... Not something that you could only borrow for a little while...Something that was yours and yours alone to play with, to dream about, and more... It's My Rubber Band explores how a cherished everyday object can become a catalyst for curiosity, play and a profound sense of connection. With a special object of one's very own, the possibilities are as limitless as the imagination!

Jack and George are resting quietly when BOOM! A huge and strange ball lands beside them. "What's that, Jack?" "I don't know, George. Maybe it's a rock?" No-too soft.But it rolls. Fast! Jack, George and the ball roll right off the cliff and now it's a parachute. But watch out, they're going to land in the river...Jack and George have a brilliant day full of adventure with this object that changes with the landscape. But what is it? It doesn't matter, it was fun trying to figure it out. This bright and funny book is a game of twists and turns, with a joyful refrain and vivid artwork to capture every toddler's imagination.

An analysis of the lessons learned from tuberculosis control in Shanghai. Tuberculosis Control and Institutional Change in Shanghai, 1911-2011 is the first book on the most widespread and deadly infectious disease in China, both historically and today. Weaving together interviews with data from periodicals and local archives in Shanghai, Rachel Core examines the rise and fall of tuberculosis control in China from the 1950s to the 1990s. Under the socialist work unit system, the vast majority of people had guaranteed employment, a host of benefits tied to their workplace, and there was little mobility--factors that made the delivery of medical and public health services possible in both urban and rural areas. The dismantling of work units amid wider market reforms in the 1980s and 1990s led to the rise of temporary and casual employment and a huge migrant worker population, with little access to health care, creating new challenges in TB control. This study of Shanghai will provide valu

日本繪本系列《Sato the Rabbit》第三集，Sato再次帶領讀者進入充滿想像的日常旅程。雪地、森林，甚至茶水組成的海洋，都是他探險的舞台；一個剛出爐的派裡，也可能藏著另一個小小世界。作者用簡潔溫柔的圖像，描繪出萬物蘊藏的生命力與微小中的魔法，提醒我們，平凡生活中處處都是值得細看的驚喜與想像空間。The winsome Sato continues his magical adventures, traversing snowy landscapes and crossing a sea made of tea. Yet, no matter where he ventures, his participation in the natural world, and the magic that he finds within the ordinary, infuse each new day with possibility.In this third installment of the whimsical series originally published in Japan, the titular Sato continues his adventures, exploring both expansive landscapes―snowy fields, forests, oceans made of tea―and tiny microcosms of worlds, found in unlikely places―like within a freshly-baked pie! In Sato's reality, which is in many ways similar to our own, seemingly commonplace occurrences are portals to new and fantastical experiences, and every object possesses an intrinsic magic and aliveness. Like all of the installments in the trilogy, this collection of vignettes reminds

A proposal that we think about digital technologies such as machine learning not in terms of artificial intelligence but as artificial communication.Algorithms that work with deep learning and big data are getting so much better at doing so many things that it makes us uncomfortable. How can a device know what our favorite songs are, or what we should write in an email? Have machines become too smart? In Artificial Communication, Elena Esposito argues that drawing this sort of analogy between algorithms and human intelligence is misleading. If machines contribute to social intelligence, it will not be because they have learned how to think like us but because we have learned how to communicate with them. Esposito proposes that we think of “smart” machines not in terms of artificial intelligence but in terms of artificial communication.To do this, we need a concept of communication that can take into account the possibility that a communication partner may be not a human being but an al

This commentary covers all topics and critical aspects elicited by the new European General Data Protection Regulation and its interpretation. The commentary focuses on the regulation itself, including cross-references to further provisions (eg the Police and Criminal Justice Data Protection Directive, the E-Privacy-Directive or the former Data Protection Directive 95/46/EC).Article by article the purpose of a provision is classified, its background, function and structure analysed and its content interpreted. The commentary provides an independent view of all topics, presenting both an overview and specific interpretation that provide far-reaching arguments.The editors and authors are outstanding experts in the field of data protection law well known for their practical as well as structured and thorough approach to data protection issues. They offer suitable solutions and sound arguments especially for international companies, legal councils and corporate lawyers as well as data prot

This new volume addresses the growing interest in and use of big data analytics in many industries and in many research fields around the globe; it is a comprehensive resource on the core concepts of big data analytics and the tools, techniques, and methodologies. The book gives the why and the how of big data analytics in an organized and straightforward manner, using both theoretical and practical approaches.The book's authors have organized the contents in a systematic manner, starting with an introduction and overview of big data analytics and then delving into pre-processing methods, feature selection methods and algorithms, big data streams, and big data classification. Such terms and methods as swarm intelligence, data mining, the bat algorithm and genetic algorithms, big data streams, and many more are discussed. The authors explain how deep learning and machine learning along with other methods and tools are applied in big data analytics. The last section of the book presents

Social media has put mass communication in the hands of normal people on an unprecedented scale, and has also given social scientists the tools necessary to listen to the voices of everyday people around the world. This book gives social scientists the skills necessary to leverage that opportunity, and transform social media's vast stream of information into social science data. The book combines the big data techniques of computer science with social science methodology. Intended as a text for advanced undergraduates, graduate students, and researchers in the social sciences, this book provides a methodological pathway for scholars who want to make use of this new and evolving source of data. It provides a framework for building one's own data collection and analysis infrastructure, a toolkit of content analysis, geographic analysis, and network analysis, and meditations on the ethical implications of social media data.

This book assesses data protection rules that are applicable to the processing of personal data in a law enforcement context. It offers the first extensive analysis of the LED and Regulation (EU) 2018/1725. It illustrates the challenges arising from the unclear delineation between the different data protection instruments at both national and EU level. Taking a practical approach, it exemplifies situations where the application of data protection instruments could give rise to a lowering of data protection standards where the data protection rules applicable in the law enforcement context are interpreted broadly. The scope of data protection instruments applied by law enforcement authorities impacts processing for purposes of border control, migration management and asylum because there is an unclear delineation between the different data protection instruments.

A veteran British journalist living in Hong Kong investigates the disappearance of a student protester in this atmospheric novel from the New York Times notable author of The Forgiven―soon to be a major motion picture.“There came a sound of rubber bullets being fired along Java Road and the sad crowing of sirens as if to herald a future even more unpleasant than the present.”After twenty years as a journalist in Hong Kong, ex-pat Englishman Adrian Gyle has very little to show for it. Evenings are whiled away with soup dumplings and tea at Fung Shing, the restaurant downstairs from his home on Java Road, that “most melancholy street in the city, the street where the dead congregated.” It is through these jaded eyes that Gyle watches the city around him--once overflowing with wine dinners and private members’ clubs--erupt in violence as pro-democracy demonstrations hit ever closer to home. But just as Gyle prepares to turn his back on Hong Kong, he finds one last intrigue: the alluring R

Health research around the world relies on access to data, and much of the most valuable, reliable, and comprehensive data collections are held by governments. These collections, which contain data on whole populations, are a powerful tool in the hands of researchers, especially when they are linked and analyzed, and can help to address “wicked problems” in health and emerging global threats such as COVID-19. At the same time, these data collections contain sensitive information that must only be used in ways that respect the values, interests, and rights of individuals and their communities. Sharing Linked Data for Health Research provides a template for allowing research access to government data collections in a regulatory environment designed to build social license while supporting the research enterprise.

An in-depth overview of an emerging field that brings together high-performance computing, big data processing, and deep lLearning. Over the last decade, the exponential explosion of data known as big data has changed the way we understand and harness the power of data. The emerging field of high-performance big data computing, which brings together high-performance computing (HPC), big data processing, and deep learning, aims to meet the challenges posed by large-scale data processing. This book offers an in-depth overview of high-performance big data computing and the associated technical issues, approaches, and solutions. The book covers basic concepts and necessary background knowledge, including data processing frameworks, storage systems, and hardware capabilities; offers a detailed discussion of technical issues in accelerating big data computing in terms of computation, communication, memory and storage, codesign, workload characterization and benchmarking, and system deplo

A textbook that uses a hands-on approach to teach principles of programming languages, with Java as the implementation language.This introductory textbook teaches the principles of programming languages by using an experiential learning style, in which students learn about language features by realizing those features in a pedagogical compiler. Students use Java―the most commonly used programming language in the first two years of the computer science curriculum―as the implementation language throughout. The book also discusses a range of emerging topics in programming languages missing from existing textbooks, including concurrency, Big Data, and event-driven programming. The goal is to prepare students to design, implement, analyze, and understand both domain-specific and general-purpose programming languages. The book first develops basic concepts in languages, including means of computation using primitive values, means of combination such as variable definition and functions, an

As the world becomes increasingly connected, it is also more exposed to a myriad of cyber threats. We need to use multiple types of tools and techniques to learn and understand the evolving threat landscape. Data is a common thread linking various types of devices and end users. Analyzing data across different segments of cybersecurity domains, particularly data generated during cyber-attacks, can help us understand threats better, prevent future cyber-attacks, and provide insights into the evolving cyber threat landscape. This book takes a data oriented approach to studying cyber threats, showing in depth how traditional methods such as anomaly detection can be extended using data analytics and also applies data analytics to non-traditional views of cybersecurity, such as multi domain analysis, time series and spatial data analysis, and human-centered cybersecurity.

Now in its fourth edition, this comprehensive introduction of fundamental panel data methodologies provides insights on what is most essential in panel literature. A capstone to the forty-year career of a pioneer of panel data analysis, this new edition's primary contribution will be the coverage of advancements in panel data analysis, a statistical method widely used to analyze two or higher-dimensional panel data. The topics discussed in early editions have been reorganized and streamlined to comprehensively introduce panel econometric methodologies useful for identifying causal relationships among variables, supported by interdisciplinary examples and case studies. This book, to be featured in Cambridge's Econometric Society Monographs series, has been the leader in the field since the first edition. It is essential reading for researchers, practitioners and graduate students interested in the analysis of microeconomic behavior.

Who, if anyone, should regulate the internet? Governments around the world have answered this question robustly: they will. Digital sovereignty--the exercise of control over the internet--is the ambition of world leaders as a natural extension of traditional sovereignty and as a bulwark against the reach of foreign power. The question posed to governments now is not who should regulate the internet, but how should it be done. Data Sovereignty: From the Digital Silk Road to the Return of the State focuses on the question of territorial control over data flows and attempts by national and regional governments to place limits on the free movement of data across a global internet. Drawing on theories in political economy, international law, human rights, and data protection, this volume offers new theoretical perspectives and thought-provoking ideas about the nature and scope of digital sovereignty. It examines the extent to which new technologies, such as artificial intelligence, robotics

Designed for advanced undergraduate or non-major graduate students in Advanced Statistical Modeling or Regression II as well as courses on Generalized Linear Models, Longitudinal Data Analysis, Correl

This book analyses the phenomenon of digitally mediated property and considers how it problematises the boundary between human and nonhuman actors. The book addresses the increasingly porous border between personhood and property in digitized settings and considers how the increased commodification of knowledge makes visible a rupture in the liberal concept of the property owning, free, person. Engaging with the latest work in posthumanist and new materialist theory, it shows, how property as a concept as well as a means for control, changes fundamentally under advanced capitalism.Such change is exemplified by the way in which data, as an object of commodification, is extracted from human activities yet is also directly used to affectively control - or nudge - humans. Taking up a range of human engagements with digital platforms and coded architectures, as well as the circulation of affects through practices of artificial intelligence that are employed to shape behaviour, the book argu

This text provides deep and comprehensive coverage of the mathematical background for data science, including machine learning, optimal recovery, compressed sensing, optimization, and neural networks. In the past few decades, heuristic methods adopted by big tech companies have complemented existing scientific disciplines to form the new field of Data Science. This text embarks the readers on an engaging itinerary through the theory supporting the field. Altogether, twenty-seven lecture-length chapters with exercises provide all the details necessary for a solid understanding of key topics in data science. While the book covers standard material on machine learning and optimization, it also includes distinctive presentations of topics such as reproducing kernel Hilbert spaces, spectral clustering, optimal recovery, compressed sensing, group testing, and applications of semidefinite programming. Students and data scientists with less mathematical background will appreciate the appendice

Data assimilation is a hugely important mathematical technique, relevant in fields as diverse as geophysics, data science, and neuroscience. This modern book provides an authoritative treatment of the field as it relates to several scientific disciplines, with a particular emphasis on recent developments from machine learning and its role in the optimisation of data assimilation. Underlying theory from statistical physics, such as path integrals and Monte Carlo methods, are developed in the text as a basis for data assimilation, and the author then explores examples from current multidisciplinary research such as the modelling of shallow water systems, ocean dynamics, and neuronal dynamics in the avian brain. The theory of data assimilation and machine learning is introduced in an accessible and unified manner, and the book is suitable for undergraduate and graduate students from science and engineering without specialized experience of statistical physics.

Chunyan Li is a course instructor with many years of experience in teaching about time series analysis. His book is essential for students and researchers in oceanography and other subjects in the Earth sciences, looking for a complete coverage of the theory and practice of time series data analysis using MATLAB. This textbook covers the topic's core theory in depth, and provides numerous instructional examples, many drawn directly from the author's own teaching experience, using data files, examples, and exercises. The book explores many concepts, including time; distance on Earth; wind, current, and wave data formats; finding a subset of ship-based data along planned or random transects; error propagation; Taylor series expansion for error estimates; the least squares method; base functions and linear independence of base functions; tidal harmonic analysis; Fourier series and the generalized Fourier transform; filtering techniques: sampling theorems: finite sampling effects; wavelet

Develop the analytical skills that are in high demand in businesses today with Camm/Cochran/Fry/Ohlmann's best-selling BUSINESS ANALYTICS, 5E. You master the full range of analytics as you strengthen descriptive, predictive and prescriptive analytic skills. Real examples and memorable visuals clearly illustrate data and results. Step-by-step instructions guide you through using Excel, Tableau, R or the Python-based Orange data mining software to perform advanced analytics. Practical, relevant problems at all levels of difficulty let you apply what you've learned. Updates throughout this edition address topics beyond traditional quantitative concepts, such as data wrangling, data visualization and data mining, which are increasingly important in today's business environment. MindTap and WebAssign online learning platforms are also available with an interactive eBook, algorithmic practice problems and Exploring Analytics visualizations to strengthen your understanding of key concepts.

The entanglements of people and data, code and space, knowledge and power: how data and algorithms shape the world―and shape us within that world.With the emergence of a post-truth world, we have witnessed the dissolution of the common ground on which truth claims were negotiated, individual agency enacted, and public spheres shaped. What happens when, as Nietzsche claimed, there are no facts, but only interpretations? In this book, Mark Shepard examines the entanglements of people and data, code and space, knowledge and power that have produced an uncommon ground―a disaggregated public sphere where the extraction of behavioral data and their subsequent processing and sale have led to the emergence of micropublics of ever-finer granularity. Shepard explores how these new post-truth territories are propagated through machine learning systems and social networks, which shape the public and private spaces of everyday life. He traces the balkanization and proliferation of online news and t

How legacy firms can combine their traditional strengths with the power of data and digital ecosystems to forge a new competitive strategy for the digital era.How can legacy firms remain relevant in the digital era? In The Future of Competitive Strategy, strategic management expert Mohan Subramaniam explains how firms can leverage both their traditional strengths and the modern-day power of data and digital ecosystems to forge a new competitive strategy. Drawing on the experiences of a range of companies, including Caterpillar, Sleep Number, and Whirlpool, he explains how firms can benefit from data’s enlarged role in modern business, develop digital ecosystems tailored to their unique business needs, and use new frameworks to harness the power of data for competitive advantage. Subramaniam presents digital ecosystems as a combination of production and consumption ecosystems, which can be used by legacy firms to unlock the value of data at various levels―from improving operational effi

An everyday object (the endlessly versatile rubber band) becomes an invitation to imagine new possibilities in the latest laugh-out-loud picture book from acclaimed author-illustrator Shinsuke Yoshitake!What can you do with a rubber band? You can do everyday things, like keep it close when you sleep or bring it along at bath time. And you can do exciting, unexpected things, like use it to bungee jump out of a plane or to grab a snack. With a special object of your very own, the possibilities are as limitless as your imagination!Acclaimed Japanese author-illustrator Shinsuke Yoshitake (The Boring Book, There Must Be More Than That!, I Can Be Anything, The I Wonder Bookstore) delivers another laugh-out-loud experience in his latest picture book. With signature humor, wit, and boundless creativity, this charming story celebrates the potential of everyday objects to become catalysts for curiosity and play, at once honoring a child's attachment to favorite objects and opening the door to a

This compact course is written for the mathematically literate reader who wants to learn to analyze data in a principled fashion. The language of mathematics enables clear exposition that can go quite deep, quite quickly, and naturally supports an axiomatic and inductive approach to data analysis. Starting with a good grounding in probability, the reader moves to statistical inference via topics of great practical importance – simulation and sampling, as well as experimental design and data collection – that are typically displaced from introductory accounts. The core of the book then covers both standard methods and such advanced topics as multiple testing, meta-analysis, and causal inference.

All social and policy researchers need to synthesize data into a visual representation. Producing good visualizations combines creativity and technique. This book teaches the techniques and basics to produce a variety of visualizations, allowing readers to communicate data and analyses in a creative and effective way. Visuals for tables, time series, maps, text, and networks are carefully explained and organized, showing how to choose the right plot for the type of data being analysed and displayed. Examples are drawn from public policy, public safety, education, political tweets, and public health. The presentation proceeds step by step, starting from the basics, in the programming languages R and Python so that readers learn the coding skills while simultaneously becoming familiar with the advantages and disadvantages of each visualization. No prior knowledge of either Python or R is required. Code for all the visualizations are available from the book's website.

This book provides a general framework for learning sparse graphical models with conditional independence tests. It includes complete treatments for Gaussian, Poisson, multinomial, and mixed data; uni

Before the Scrolls traces the media history of the biblical prophetic corpus to propose a material approach to biblical literature. Although scholars understand that the material of composition was the scroll rather than the codex, they persist in imagining the form as a single textual object. This assumption pervades centuries of scholarship and drives many of the questions asked about biblical composition. Nathan Mastnjak raises the question of the original physical format of biblical texts and argues that many of the literary works that would eventually become the Bible's prophetic books were not written initially as books. Isaiah, Jeremiah, and Ezekiel were originally composed on loosely organized collections of multiple short papyrus scrolls and sheets. Though rarely considered in scholarship, the realia of a text's form, format, production, and material substance have a profound influence on the meaning of the text. Unlike works committed to single book-scrolls, thesecollections

The most original and authoritative voice of today's English lexicography presents a fully revised new edition of his beloved usage dictionary When Bryan Garner published the first edition of A Dictionary of Modern American Usage in 1999, the book quickly became one of the most influential style guides ever written for the English language. After four previous editions and over twenty years, our language has evolved in many ways, and thepowerful tool of big data has revolutionized lexicography. This extensively revised new edition fully captures these changes, featuring a thousand new entries and over two hundred replacement entries, thoroughly updated usage data and ratios on word frequency based on the Google Ngram Viewer, a morebalanced coverage of World Englishes, not just American and British, and the inclusion of gender-neutral language. However, one thing has not changed: in no sense is this a regular dictionary but a masterpiece of lexicography written with wit and personality

Discover a world of wonder on a farmyard walk, with this beautiful picture book from the National Trust.Today we’re on the farm. Let’s go!Past the gate where daisies grow . . .Look what I found!A tuft of sheep’s wool, soft as a woolly jumper.Set off on a farmyard adventure to find natural treasure, from a fluffy chick feather to a broken eggshell, then learn more about the found object with irresistibly illustrated and informative nature notes.Packed full of fascinating facts alongside a gentle rhyming narrative and encouraging children to get outside and explore their surroundings, this is a nature treasure hunt series for the whole family to treasure!Other titles in the series include: Look What I Found in the Woods and Look What I Found at the Seaside

Imagine having 5,000 years of human history's most amazing artworks at your fingertips!Go on a trip through the famous Metropolitan Museum of Art without ever leaving your home! Prepare to explore the treasures of the world's civilisations-from ancient Egyptian amulets, Mayan jewellery, and prehistoric tools-to Medieval tapestries, Renaissance suits of armour, and modern-day baseball cards. Each page brings you closer to the past as you learn about the people of different ages through the objects they left behind.Discover hand-picked highlights of the museum's huge collection as you travel through history, one incredible object at a time. This book combines exclusive Met photography with colourful and quirky illustrations in a resource that parents can trust, with a design that kids will love.© The Metropolitan Museum of Art, New York

Information may be beautiful, but our decisions about the data we choose to represent and how we represent it are never neutral. This insightful history traces how data visualization accompanied modern technologies of war, colonialism and the management of social issues of poverty, health and crime. Discussion is based around examples of visualization, from the ancient Andean information technology of the quipu to contemporary projects that show the fate of our rubbish and take a participatory approach to visualizing cities. This analysis places visualization in its theoretical and cultural contexts, and provides a critical framework for understanding the history of information design with new directions for contemporary practice.

Centring priest and navigator Tupaia and Pacific worldviews, this richly illustrated volume weaves a new set of cultural histories in the Pacific, between local islanders and the crew of the Endeavour on James Cook’s first ‘voyage of discovery’ (1768-1771). This book revisits the National Maritime Museum’s material collections brought back from the voyage, paying particular attention to objects, journals, drawings, maps, cloth and clothes, and the attending narratives that framed Britain’s kaleidoscopic engagement with Pacific peoples. Bringing together artists, scholars, historians, theorists, and tailors, this book presents a cross-cultural conversation that breathes new life into the concepts of acquired and curated artefacts and taonga that traversed oceans and entwined cultures. Each chapter draws attention to a particular material, object or process to reveal fresh insights on the voyage, the societies it brought together and the histories it transformed. Chapters cover Tupai

A short, serious history of the co-development of sex and sexuality and the internet, and how the issues at their convergence increasingly define our lives: free speech, privacy, online banking, dating and social media, streaming technology, cultural and sexual appropriation, and mass data collection. From the moment there was an “online,” there was sex online. The famous test image used by software engineers to develop formats like the jpeg was “Lenna,” taken from Playboy’s November 1972 centerfold. Early bulletin boards and multi-user domains quickly came to serve their members sexual musings. Facebook started as a way to rate “hot or not” Harvard co-eds. In fact, virtually every significant development that defines the Internet we know and love (and hate) today―privacy issues, online payments and online banking, dating, social media, streaming technology, mass data collection―came out the meeting of sexuality and technology. And the kicker is, not only did sexuality vastly

Coding for a purpose: helping young people combine journalism, data, design, and code to make media that makes a difference.Educators are urged to teach “code for all”―to make a specialized field accessible for students usually excluded from it. In Code for What? Clifford Lee and Elisabeth Soep instead ask the question, “code for what?” What if coding were a justice-driven medium for storytelling rather than a narrow technical skill? What if “democratizing” computer science went beyond the usual one-off workshop and empowered youth to create digital products for social impact? Lee and Soep answer these questions with stories of a diverse group of young people in Oakland, California, who combine journalism, data, design, and code to create media that make a difference. These teenage and young adult producers created interactive projects that explored gendered and racialized dress code policies in schools; designed tools for LBGTQ+ youth experiencing discrimination; investigated facial r

A bold look at the creative, controversial, and vibrant history of skateboarding, and the amazing skaters who continually reinvent itSkateboarding isn't just a recreational activity, but a professional sport, lifestyle, art form, and cultural phenomenon. The striking book Four Wheels and a Board captures its spirited history, iconic skateboarders, diverse community, and the palpable passion of the people who love it. It includes contributions from the most influential names in the game, including Rodney Mullen, Tony Hawk, Mimi Knoop, and more. The gorgeously designed book presents objects, artifacts, and photographs from the Smithsonian’s collections that exemplify the vitality and innovation of skate culture. Book chapters are organized chronologically by decade from the '60s to present day, starting with 20th-century surfboards, moving through technological changes, the disappearance of skate parks, the rise of social media and collaborations, and ending with never-before-seen object

Computer scientists often need to learn new programming languages quickly. The best way to prepare for this is to understand the foundational principles that underlie even the most complicated industrial languages. This text for an undergraduate programming languages course distills great languages and their design principles down to easy-to-learn 'bridge' languages implemented by interpreters whose key parts are explained in the text. The book goes deep into the roots of both functional and object-oriented programming, and it shows how types and modules, including generics/polymorphism, contribute to effective programming. The book is not just about programming languages; it is also about programming. Through concepts, examples, and more than 300 practice exercises that exploit the interpreter, students learn not only what programming-language features are but also how to do things with them. Substantial implementation projects include Milner's type inference, both copying and mark-an

Discourse Syntax is the study of syntax that requires an understanding of the surrounding text and the overall discourse situation, including considerations of genre and modality. Using corpus data and insights from current research, this book is a comprehensive guide to this fast-developing field. It takes the reader 'beyond the sentence' to study grammatical phenomena, like word order variation, connectives, ellipsis, and complexity. It introduces core concepts of Discourse Syntax, integrating insights from corpus-based research and inviting the reader to reflect on research design decisions. Each chapter begins with a definition of learning outcomes, provides results from empirical articles, and enables readers to critically assess data visualization. Complete with helpful further reading recommendations as well as a range of exercises, it is geared towards intermediate to advanced students of English linguistics and it is also essential reading for anyone interested in this excitin

An expert offers a guide to where we should use artificial intelligence―and where we should not.Before we know it, artificial intelligence (AI) will work its way into every corner of our lives, making decisions about, with, and for us. Is this a good thing? There’s a tendency to think that machines can be more “objective” than humans―can make better decisions about job applicants, for example, or risk assessments. In Awkward Intelligence, AI expert Katharina Zweig offers readers the inside story, explaining how many levers computer and data scientists must pull for AI’s supposedly objective decision making. She presents the good and the bad: AI is good at processing vast quantities of data that humans cannot―but it’s bad at making judgments about people. AI is accurate at sifting through billions of websites to offer up the best results for our search queries and it has beaten reigning champions in games of chess and Go. But, drawing on her own research, Zweig shows how inac