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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

God of the Machine

God of the Machine

The God of the Machine presents an original theory of history and a bold defense of individualism as the source of moral and political progress. When it was published in 1943 Isabel Paterson's work provided fresh intellectual support for the endangered American belief in individual rights limited government and economic freedom. The crisis of today's collectivized nations would not have surprised Paterson; in The God of the Machine she had explored the reasons for collectivism's failure. Her book placed her in the vanguard of the free-enterprise movement now sweeping the world. Paterson sees the individual creative mind as the dynamo of history and respect for the individual's God-given rights as the precondition for the enormous release of energy that produced the modern world. She sees capitalist institutions as the machinery through which human energy works and government as a device properly used merely to cut off power to activities that threaten personal liberty. Paterson applies her general theory to particular issues in contemporary life such as education . social welfare and the causes of economic distress. She severely criticizes all but minimal application of government including governmental interventions that most people have long taken for granted. The God of the Machine offers a challenging perspective on the continuing worldwide debate about the nature of freedom the uses of power and the prospects of human betterment. Stephen Cox's substantial introduction to The God of the Machine is a comprehensive and enlightening account of Paterson's colorful life and work. He describes The God of the Machine as not just theory but rhapsody satire diatribe poetic narrative. Paterson's work continues to be relevant because it exposes the moral and practical failures of collectivism failures that are now almost universally acknowledged but are still far from universally understood. The book will be essential to students of American history political theory and literature.

GBP 140.00
1

Machine Learning and Music Generation

The Writing Machine A History of the Typewriter

Machine Learning for Criminology and Crime Research At the Crossroads

Machine Learning for Criminology and Crime Research At the Crossroads

Machine Learning for Criminology and Crime Research: At the Crossroads reviews the roots of the intersection between machine learning artificial intelligence (AI) and research on crime; examines the current state of the art in this area of scholarly inquiry; and discusses future perspectives that may emerge from this relationship. As machine learning and AI approaches become increasingly pervasive it is critical for criminology and crime research to reflect on the ways in which these paradigms could reshape the study of crime. In response this book seeks to stimulate this discussion. The opening part is framed through a historical lens with the first chapter dedicated to the origins of the relationship between AI and research on crime refuting the novelty narrative that often surrounds this debate. The second presents a compact overview of the history of AI further providing a nontechnical primer on machine learning. The following chapter reviews some of the most important trends in computational criminology and quantitatively characterizing publication patterns at the intersection of AI and criminology through a network science approach. This book also looks to the future proposing two goals and four pathways to increase the positive societal impact of algorithmic systems in research on crime. The sixth chapter provides a survey of the methods emerging from the integration of machine learning and causal inference showcasing their promise for answering a range of critical questions. With its transdisciplinary approach Machine Learning for Criminology and Crime Research is important reading for scholars and students in criminology criminal justice sociology and economics as well as AI data sciences and statistics and computer science. | Machine Learning for Criminology and Crime Research At the Crossroads

GBP 130.00
1

The Humanitarian Machine Reflections from Practice

Computer A History of the Information Machine

Cyber Security and Business Intelligence Innovations and Machine Learning for Cyber Risk Management

Cyber Security and Business Intelligence Innovations and Machine Learning for Cyber Risk Management

To cope with the competitive worldwide marketplace organizations rely on business intelligence to an increasing extent. Cyber security is an inevitable practice to protect the entire business sector and its customer. This book presents the significance and application of cyber security for safeguarding organizations individuals’ personal information and government. The book provides both practical and managerial implications of cyber security that also supports business intelligence and discusses the latest innovations in cyber security. It offers a roadmap to master degree students and PhD researchers for cyber security analysis in order to minimize the cyber security risk and protect customers from cyber-attack. The book also introduces the most advanced and novel machine learning techniques including but not limited to Support Vector Machine Neural Networks Extreme Learning Machine Ensemble Learning and Deep Learning Approaches with a goal to apply those to cyber risk management datasets. It will also leverage real-world financial instances to practise business product modelling and data analysis. The contents of this book will be useful for a wide audience who are involved in managing network systems data security data forecasting cyber risk modelling fraudulent credit risk detection portfolio management and data regulatory bodies. It will be particularly beneficial to academics as well as practitioners who are looking to protect their IT system and reduce data breaches and cyber-attack vulnerabilities. | Cyber Security and Business Intelligence Innovations and Machine Learning for Cyber Risk Management

GBP 130.00
1

Handbook of Computational Social Science Volume 2 Data Science Statistical Modelling and Machine Learning Methods

Handbook of Computational Social Science Volume 2 Data Science Statistical Modelling and Machine Learning Methods

The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field showcasing novel statistical modeling and machine learning methods and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches. The Handbook is divided into two volumes written by outstanding internationally renowned scholars in the field. This second volume focuses on foundations and advances in data science statistical modeling and machine learning. It covers a range of key issues including the management of big data in terms of record linkage streaming and missing data. Machine learning agent-based and statistical modeling as well as data quality in relation to digital trace and textual data as well as probability non-probability and crowdsourced samples represent further foci. The volume not only makes major contributions to the consolidation of this growing research field but also encourages growth into new directions. With its broad coverage of perspectives (theoretical methodological computational) international scope and interdisciplinary approach this important resource is integral reading for advanced undergraduates postgraduates and researchers engaging with computational methods across the social sciences as well as those within the scientific and engineering sectors. | Handbook of Computational Social Science Volume 2 Data Science Statistical Modelling and Machine Learning Methods

GBP 52.99
1

Belief Action and Rationality over Time

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
1

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 66.99
1

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

Diffractive Ethnography Social Sciences and the Ontological Turn

The Industrialization of Intelligence Mind and Machine in the Modern Age

A Demographic Study of an Egyptian Province (Sharquiya)

Postmodernism Philosophy and the Arts

Burden-sharing in NATO

A Machine That Would Go of Itself The Constitution in American Culture

A Machine That Would Go of Itself The Constitution in American Culture

In this volume Pulitzer Prize-winning historian Michael Kammen explores the U. S. Constitution's place in the public consciousness and its role as a symbol in American life from ratification in 1788 to our own time. As he examines what the Constitution has meant to the American people (perceptions and misperceptions uses and abuses knowledge and ignorance) Kammen shows that although there are recurrent declarations of reverence most of us neither know nor fully understand our Constitution. How did this gap between ideal and reality come about? To explain it Kammen examines the complex and contradictory feelings about the Constitution that emerged during its preparation and that have been with us ever since. He begins with our confusion as to the kind of Union we created especially with regard to how much sovereignty the states actually surrendered to the central government. This confusion is the source of the constitutional crisis that led to the Civil War and its aftermath. Kammen also describes and analyzes changing perceptions of the differences and similarities between the British and American constitutions; turn-of-the-century debates about states' rights versus national authority; and disagreements about how easy or difficult it ought to be to amend the Constitution. Moving into the twentieth century he notes the development of a cult of the Constitution following World War I and the conflict over policy issues that persisted despite a shared commitment to the Constitution. | A Machine That Would Go of Itself The Constitution in American Culture

GBP 130.00
1

The Forest Certification Handbook

Barth's Theology of Interpretation