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Machine Learning for Managers

Machine Learning in Translation

Machine Learning in Translation

Machine Learning in Translation introduces machine learning (ML) theories and technologies that are most relevant to translation processes approaching the topic from a human perspective and emphasizing that ML and ML-driven technologies are tools for humans. Providing an exploration of the common ground between human and machine learning and of the nature of translation that leverages this new dimension this book helps linguists translators and localizers better find their added value in a ML-driven translation environment. Part One explores how humans and machines approach the problem of translation in their own particular ways in terms of word embeddings chunking of larger meaning units and prediction in translation based upon the broader context. Part Two introduces key tasks including machine translation translation quality assessment and quality estimation and other Natural Language Processing (NLP) tasks in translation. Part Three focuses on the role of data in both human and machine learning processes. It proposes that a translator’s unique value lies in the capability to create manage and leverage language data in different ML tasks in the translation process. It outlines new knowledge and skills that need to be incorporated into traditional translation education in the machine learning era. The book concludes with a discussion of human-centered machine learning in translation stressing the need to empower translators with ML knowledge through communication with ML users developers and programmers and with opportunities for continuous learning. This accessible guide is designed for current and future users of ML technologies in localization workflows including students on courses in translation and localization language technology and related areas. It supports the professional development of translation practitioners so that they can fully utilize ML technologies and design their own human-centered ML-driven translation workflows and NLP tasks.

GBP 34.99
1

Machine Learning and Music Generation

The Humanitarian Machine Reflections from Practice

Computer A History of the Information Machine

Regional Innovation Potential: The Case of the U.S. Machine Tool Industry

Regional Innovation Potential: The Case of the U.S. Machine Tool Industry

This title was first published in 2000: Steven Nivin analyzes a process vital to economic development - technological change. He furthers understanding of the processes driving innovation so that we may gain a deeper insight into the development of economies. Specifically the study explores the concept of innovation potential and the factors that result in variations in innovation potential across metropolitan areas using the US machine tool industry as a case study. To provide a comparison the same models are also estimated for the semiconductor industry. The findings indicate that urbanisation economies localization economies human capital universities and invention-derived knowledge are significant factors. The study assesses the contributions of three different skill levels of human capital; college-educated graduate degree and locally produced PhD’s in mechanical and electrical engineering. Only the graduate and PhD degree measures are found to be significant indicating the importance of having a highly skilled pool of labour within the region. The influences of the factors appear to be similar across industries with some slight differences. The transfer of knowledge through patents is also studied. It is found that the transmission of this knowledge is slower between different industries relative to the transmission within the same industry. | Regional Innovation Potential: The Case of the U. S. Machine Tool Industry

GBP 21.99
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Analysing English-Arabic Machine Translation Google Translate Microsoft Translator and Sakhr

Analysing English-Arabic Machine Translation Google Translate Microsoft Translator and Sakhr

Machine Translation (MT) has become widely used throughout the world as a medium of communication between those who live in different countries and speak different languages. However translation between distant languages constitutes a challenge for machines. Therefore translation evaluation is poised to play a significant role in the process of designing and developing effective MT systems. This book evaluates three prominent MT systems including Google Translate Microsoft Translator and Sakhr each of which provides translation between English and Arabic. In the book Almahasees scrutinizes the capacity of the three systems in dealing with translation between English and Arabic in a large corpus taken from various domains including the United Nation (UN) the World Health Organization (WHO) the Arab League Petra News Agency reports and two literary texts: The Old Man and the Sea and The Prophet. The evaluation covers holistic analysis to assess the output of the three systems in terms of Translation Automation User Society (TAUS) adequacy and fluency scales. The text also looks at error analysis to evaluate the systems’ output in terms of orthography lexis grammar and semantics at the entire-text level and in terms of lexis grammar and semantics at the collocation level. The research findings contained within this volume provide important feedback about the capabilities of the three MT systems with respect to EnglishArabic translation and paves the way for further research on such an important topic. This book will be of interest to scholars and students of translation studies and translation technology. | Analysing English-Arabic Machine Translation Google Translate Microsoft Translator and Sakhr

GBP 38.99
1

The Industrialization of Intelligence Mind and Machine in the Modern Age

The Rise of Metacreativity AI Aesthetics After Remix

The Rise of Metacreativity AI Aesthetics After Remix

This book brings together history and theory in art and media to examine the effects of artificial intelligence and machine learning in culture and reflects on the implications of delegating parts of the creative process to AI. In order to understand the complexity of authorship and originality in relation to creativity in contemporary times Navas combines historical and theoretical premises from different areas of research in the arts humanities and social sciences to provide a rich historical and theoretical context that critically reflects on and questions the implications of artificial intelligence and machine learning as an integral part of creative production. As part of this the book considers how much of postproduction and remix aesthetics in art and media preceded the current rise of metacreativity in relation to artificial intelligence and machine learning and explores contemporary questions on aesthetics. The book also provides a thorough evaluation of the creative application of systematic approaches to art and media production and how this in effect percolates across disciplines including art design communication as well as other fields in the humanities and social sciences. An essential read for students and scholars interested in understanding the increasing role of AI and machine learning in contemporary art and media and their wider role in creative production across culture and society. | The Rise of Metacreativity AI Aesthetics After Remix

GBP 34.99
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Ceilings and Dreams The Architecture of Levity

Gendered Capitalism Sewing Machines and Multinational Business in Spain and Mexico 1850-1940

Gendered Capitalism Sewing Machines and Multinational Business in Spain and Mexico 1850-1940

Gendered Capitalism: Sewing Machines and Multinational Business in Spain and Mexico 1850–1940 is a history of the gendered corporation a study that examines how ideas and ideals about domesticity and the cultures of sewing and embroidery being gender-specific shaped the US-headquartered Singer Sewing Machine Company’s operations around the world. In contrast to production-driven and culture-neutral analyses of the multinational enterprise this book focuses on both the supply and the demand side to argue that consumers and the cultural worlds of those—mainly women—using the sewing machine for personal purposes or for the market shaped corporate organization. This book is a global history of Singer but it also focuses on the cases of Spain and Mexico to highlight nations where the sewing machine multinational never established manufacturing operations. Casa Singer was a mostly profitable and a long-term selling and marketing operation in both countries. Gendered Capitalism demonstrates that local Spanish and Mexican agents both men and women developed and expanded Singer’s selling system to the extent that the multinational company was seen as domestic both in the location sense and because of its focus on the private sphere of the home. By bringing the cases of Spain and Mexico and the cultural everyday realm of practices related to sewing and embroidery that the sewing machine was part of to the center of the study of international business Gendered Capitalism further reveals the layers of complexities and multitudes that conform the history of global capitalism. This book will be of interest to readers and scholars in the fields of business history economic cultural history management studies international business women’s history gender studies and the history of technology. | Gendered Capitalism Sewing Machines and Multinational Business in Spain and Mexico 1850-1940

GBP 35.99
1

Philosophy through Computer Science An Introduction

Philosophy through Computer Science An Introduction

What do philosophy and computer science have in common? It turns out quite a lot! In providing an introduction to computer science (using Python) Daniel Lim presents in this book key philosophical issues ranging from external world skepticism to the existence of God to the problem of induction. These issues and others are introduced through the use of critical computational concepts ranging from image manipulation to recursive programming to elementary machine learning techniques. In illuminating some of the overlapping conceptual spaces of computer science and philosophy Lim teaches readers fundamental programming skills and allows them to develop the critical thinking skills essential for examining some of the enduring questions of philosophy. Key Features Teaches readers actual computer programming not merely ideas about computers Includes fun programming projects (like digital image manipulation and Game of Life simulation) allowing the reader to develop the ability to write larger computer programs that require decomposition abstraction and algorithmic thinking Uses computational concepts to introduce clarify and develop a variety of philosophical issues Covers various aspects of machine learning and relates them to philosophical issues involving science and induction as well as to ethical issues Provides a framework to critically analyze arguments in classic and contemporary philosophical debates | Philosophy through Computer Science An Introduction

GBP 32.99
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Lives of the Philadelphia Engineers Capital Class and Revolution 1830 1890

Lives of the Philadelphia Engineers Capital Class and Revolution 1830 1890

Lives of the Philadelphia Engineers examines the emergence of a new class of industrial entrepreneur and the world it confronted and shaped. Historians are reluctant to examine nineteenth-century American business leaders as a social group and this study helps remedy the defect. This book interweaves a history of the social and economic development of the largest centre of machine building in nineteenth-century America with the dramatic political narrative of sectional conflict Civil War and Reconstruction. Crossing and re-crossing the boundary between industrial and political history it throws new light on the process of industrialisation the Civil War conflict and the contested governance of nineteenth-century cities. While this study is firmly rooted in the experience of Philadelphia's machine builders its historiographic significance extends to many of the important themes of mid-century American history. By rejecting the conventional viewpoint that timid manufacturers were conservative supporters of the plantation South and insisting that workshop owners rejected slavery this study reinvigorates one of the Civil War's enduring interpretative battles. Of interest to scholars of business economic social labour education urban and Civil War history it will no doubt stimulate further debate and add a new angle to our understanding of nineteenth-century America. | Lives of the Philadelphia Engineers Capital Class and Revolution 1830�1890

GBP 38.99
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Artificial Intelligence Research Directions in Cognitive Science: European Perspectives Vol. 5

The Contributions of Alexander Hamilton Church to Accounting and Management

Lexical Ontological Semantics

Russia's Military Way to the West Origins and Nature of Russian Military Power 1700-1800

Mobilizing U.S. Industry A Vanishing Option For National Security?

Serious Games in Personalized Learning New Models for Design and Performance

Operations Management in Japan The Efficiency of Japanese Manufacturing

Merchants of Death A Study of the International Armament Industry

A History of Digital Media An Intermedia and Global Perspective

Bioinformation Worlds and Futures

Predictive Policing and Artificial Intelligence

Predictive Policing and Artificial Intelligence

This edited text draws together the insights of numerous worldwide eminent academics to evaluate the condition of predictive policing and artificial intelligence (AI) as interlocked policy areas. Predictive and AI technologies are growing in prominence and at an unprecedented rate. Powerful digital crime mapping tools are being used to identify crime hotspots in real-time as pattern-matching and search algorithms are sorting through huge police databases populated by growing volumes of data in an eff ort to identify people liable to experience (or commit) crime places likely to host it and variables associated with its solvability. Facial and vehicle recognition cameras are locating criminals as they move while police services develop strategies informed by machine learning and other kinds of predictive analytics. Many of these innovations are features of modern policing in the UK the US and Australia among other jurisdictions. AI promises to reduce unnecessary labour speed up various forms of police work encourage police forces to more efficiently apportion their resources and enable police officers to prevent crime and protect people from a variety of future harms. However the promises of predictive and AI technologies and innovations do not always match reality. They often have significant weaknesses come at a considerable cost and require challenging trade- off s to be made. Focusing on the UK the US and Australia this book explores themes of choice architecture decision- making human rights accountability and the rule of law as well as future uses of AI and predictive technologies in various policing contexts. The text contributes to ongoing debates on the benefits and biases of predictive algorithms big data sets machine learning systems and broader policing strategies and challenges. Written in a clear and direct style this book will appeal to students and scholars of policing criminology crime science sociology computer science cognitive psychology and all those interested in the emergence of AI as a feature of contemporary policing.

GBP 38.99
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Religion and Its Monsters