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Machine Learning for Managers

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

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

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

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

The Writing Machine A History of the Typewriter

Machine Learning and Music Generation

The Humanitarian Machine Reflections from Practice

Computer A History of the Information Machine

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 66.99
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 21.99
1

Diffractive Ethnography Social Sciences and the Ontological Turn

Positional Analysis for Sustainable Development Reconsidering Policy Economics and Accounting

Positional Analysis for Sustainable Development Reconsidering Policy Economics and Accounting

Climate change biodiversity loss pollution of land and water land-use changes lack of equality and other problems at local national and global levels represent a challenge for economics as a social science. Mainstream neoclassical economics may be able to contribute to a more sustainable society but it has also played a dominant role in a period where problems have been aggravated. A pluralist and democratic view of economics is therefore very much warranted. This book presents a multidimensional and ideologically more open view of economics: understanding economics in multidimensional terms is in accordance with the 17 sustainable development goals recognized by nations at the UN-level in 2015. Accordingly approaches to decision making and accounting at the national- and business levels have to be reconsidered. Neoclassical Cost-Benefit Analysis (CBA) with focus on the monetary dimension and an assumed consensus about a specific market ideology to be applied is not compatible with democratic societies where citizen and actors in other roles normally differ with respect to ideological orientation. Environmental Impact Statements and Multi-Criteria methods are used to some extent to broaden approaches to decision-making. In this book Positional Analysis is advocated as a multidimensional and ideologically open approach. Positional Analysis is based on a political economic conceptual framework (as part of ecological economics) that differs from neoclassical ideas of individuals firms and markets. And since approaches to decision-making and to accounting are closely connected a new theoretical perspective in economics similarly raises issues of how national and business accounting can be opened up to meet present demands among various actors in society. This perspective raises also numerous ethical questions at the science and policy interface that need to be properly addressed for sustainability decision making. | Positional Analysis for Sustainable Development Reconsidering Policy Economics and Accounting

GBP 35.99
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

Postmodernism Philosophy and the Arts

A Demographic Study of an Egyptian Province (Sharquiya)

Russian in a Contemporary World A Textbook for Intermediate Russian

Burden-sharing in NATO

Teaching Games and Sport for Understanding

Teaching Games and Sport for Understanding

This new book brings together leading and innovative thinkers in the field of teaching and sport coaching pedagogy to provide a range of perspectives on teaching games and sport for understanding. Teaching Games and Sport for Understanding engages undergraduate and postgraduate students in physical education and sport coaching practicing teachers practicing sport coaches teacher educators and coach developers. The contributions taken together or individually provide insight learning and opportunities to foster game-based teaching and coaching ideas and provide conceptual and methodological clarity where a sense of pedagogical confusion may exist. Each chapter raises issues that can resonate with the teacher and sport practitioner and researcher. In this way the chapters can assist one to make sense of their own teaching or sport coaching provide deeper insight into personal conceptualisations of the concept of game-based teaching and sport coaching or stimulate reflections on their own teaching or coaching or the contexts they are involved in. Teaching games and sport for understanding in various guises and pedagogical models has been proposed as leading practice for session design and instructional delivery of sport teaching in PE and sport coaching since the late 1960s. At its core it is a paradigm shift from what can be described as a behaviourist model of highly directive instruction for player replication of teacher/coach explanation and demonstration to instructional models that broadly are aimed at the development of players self-autonomy as self-regulated learners –‘thinking players’. This innovative new volume both summarises current thinking debates and practical considerations about the broad spectrumof what teaching games for understanding means as well as providing direction for further practical pragmatic and research consideration of the concept and its precepts and as such is key reading for both undergraduate and postgraduate students of physical education and sport coaching as well as practicing teachers and sport coaches.

GBP 32.99
1

The Industrialization of Intelligence Mind and Machine in the Modern Age