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Hip Replacement Current Trends and Controversies

Hip Replacement Current Trends and Controversies

Hip Replacement offers useful strategies to choose the appropriate biomaterials and implant structure avoid complications in hip replacement surgery analyze the bone-biomaterial interface perform difficult hip reconstructions track in vivo performance of hip prosthetics inhibit implant loosening and the formation of wear debris classify acetabular defects for surgical revisions Providing nearly 200 figures pictures and micrographs to clarify surgical procedures Hip Replacement is a timely and state-of-the-art guide for orthopaedic and hip replacement surgeons; geriatricians; biomedical biomaterials and chemical engineers and bioengineers; physical materials biological and polymer scientists; and upper-level undergraduate and graduate students in these disciplines. | Hip Replacement Current Trends and Controversies

GBP 59.99
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The Hip Joint Modified Posterior Approach

The Hip Joint Modified Posterior Approach

This book summarizes the lifetime work of Dr K. Mohan Iyer and is based on his research done at the University of Liverpool UK where he devised a modified posterior approach to the hip joint and has been following it from 1981 till today. The book discusses the anterior approach to the hip on a standard operating table using a leg holder with a combined spinal anesthetic and general anesthetic. It studies total hip replacement as a day-case as an evolution in total hip replacement and presents the principles of anterior approach for total hip arthroplasty including discussions on the choice of patients superficial and deep dissection and dedicated surgical instruments. It provides extensive details on the direct anterior approach (DAA) and shows how the DAA to the hip can be carried out on a plain table which can be useful in countries in Asia such as India without the use of special operating tables and dedicated surgical instruments for the same. The book is helpful for the upcoming postgraduates in orthopedics anywhere in the world to be well versed in DAA to the hip joint. | The Hip Joint Modified Posterior Approach

GBP 193.00
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That's the Joint The Hip-Hop Studies Reader

That's the Joint The Hip-Hop Studies Reader

This newly expanded and revised third edition brings together the most important and up-to-date hip-hop scholarship in one comprehensive volume. This intellectual mixtape is composed of 46 readings that are organized into nine sections representing key concepts and themes: the history of hip-hop authenticity debates gender the globalization of hip-hop identities disability politics hip-hop and academia and hip-hop and the media. This new edition also includes greater coverage of gender sexuality and racial diversity in hip-hop; hip-hop’s global influence; and hip-hop’s role in social movements and political activism. The pedagogical features include detailed critical introductions framing each section and brief chapter introductions to help readers place each piece in context and within a broader scholarly dialogue. This text is essential reading for anyone seeking deeper understanding of the profound impact of hip-hop as an intellectual aesthetic and cultural movement. | That's the Joint The Hip-Hop Studies Reader

GBP 59.99
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Toward a Chican Hip Hop Anti-colonialism

Toward a Chican Hip Hop Anti-colonialism

Toward a Chican@ Hip Hop Anti-Colonialism makes visible the anti-colonial alterNative politics in hip hop texts created by Chican@s and Xican@s (indigenous-identified people of Mexican descent in the United States). McFarland builds on indigenous knowledge anarchism and transnational feminism to identify the emancipating power of Chican@ and Xican@ hip hop including how women and non-gender conforming (two-spirit) MCs open up inclusive alterNative spaces that challenge colonialism and capitalism. | Toward a Chican Hip Hop Anti-colonialism

GBP 18.99
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Reimagining Sample-based Hip Hop Making Records within Records

Reimagining Sample-based Hip Hop Making Records within Records

Reimagining Sample-based Hip Hop: Making Records within Records presents the poetics of hip-hop record production and the significance of sample material in record making providing analysis of key releases in hip-hop discography and interviews with experts from the world of Hip Hop and beyond. Beginning with the history of hip-hop music making this book guides the reader through the alternative techniques deployed by beat-makers to avoid the use of copyrighted samples and concludes with a consideration of the future of Hip Hop alongside a companion album that has been created using findings from this research. Challenging previous theoretical understandings about Hip Hop the author focuses on deconstructing sonic phenomena using his hands-on engineering expertise and in-depth musicological knowledge about record production. With a significant emphasis on both practice and theory Reimagining Sample-based Hip Hop will be of interest to advanced undergraduates postgraduates and researchers working in audio engineering music production hip-hop studies and musicology. | Reimagining Sample-based Hip Hop Making Records within Records

GBP 35.99
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Hip Hop Versus Rap The Politics of Droppin' Knowledge

Hip Hop Versus Rap The Politics of Droppin' Knowledge

'What is the real hip hop?' 'To whom does hip hop belong?' 'For what constructive purposes can hip hop be put to use?' These are three key questions posed by hip hop activists in Hip Hop Versus Rap which explores the politics of cultural authenticity ownership and uplift in London’s post-hip hop scene. The book is an ethnographic study of the identity role formation and practices of the organic intellectuals that populate and propagate this ‘conscious’ hip hop milieu. Turner provides an insightful examination of the work of artists and practitioners who use hip hop ‘off-street’ in the spheres of youth work education and theatre to raise consciousness and to develop artistic and personal skills. Hip Hop Versus Rap seeks to portray how cultural activism which styles itself grassroots and mature is framed around a discursive opposition between what is authentic and ethical in hip hop culture and what is counterfeit and corrupt. Turner identifies that this play of difference framed as an ethical schism also presents hip hop’s organic intellectuals with a narrative that enables them to align their insurgent values with those of policy and to thereby receive institutional support. This enlightening volume will be of interest to post-graduates and scholars interested in hip hop studies; youth work; critical pedagogy; young people and crime/justice; the politics of race/racism; the politics of youth/education; urban governance; social movement studies; street culture studies; and vernacular studies. | Hip Hop Versus Rap The Politics of Droppin' Knowledge

GBP 39.99
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Cloud-Based Music Production Sampling Synthesis and Hip-Hop

Cloud-Based Music Production Sampling Synthesis and Hip-Hop

Cloud-Based Music Production: Samples Synthesis and Hip-Hop presents a discussion on cloud-based music-making procedures and the musical competencies required to make hip-hop beats. By investigating how hip-hop producers make music using cloud-based music production libraries this book reveals how those services impact music production en masse. Cloud-Based Music Production takes the reader through the creation of hip-hop beats from start to finish – from selecting samples and synthesizer presets to foundational mixing practices – and includes analysis and discussion of how various samples and synthesizers work together within an arrangement. Through case studies and online audio examples Shelvock explains how music producers directly modify the sonic characteristics of hip-hop sounds to suit their tastes and elucidates the psychoacoustic and perceptual impact of these aesthetically nuanced music production tasks. Cloud-Based Music Production will be of interest to musicians producers mixers and engineers and also provides essential supplementary reading for music technology courses. | Cloud-Based Music Production Sampling Synthesis and Hip-Hop

GBP 36.99
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White Hip Hoppers Language and Identity in Post-Modern America

White Hip Hoppers Language and Identity in Post-Modern America

This book examines language and identity among White American middle and upper-middle class youth who affiliate with Hip Hop culture. Hip Hop youth engage in practices that range from the consumption of rap music and fashion to practices like MC-ing (writing and performing raps or rhymes) DJ-ing (mixing records to produce a beat for the MC) graffiti tagging and break-dancing. Cutler explores the way in which these young people stylize their speech using linguistic resources drawn from African American English and Hip Hop slang terms. She also looks at the way they construct their identities in discussions with their friends and how they talk about and use language to construct themselves as authentic within Hip Hop. Cutler considers the possibility that young people experimenting with AAVE-styled speech may improve the status of AAVE in the broader society. She also addresses the need for educators to be aware of the linguistic patterns found in AAVE and Hip Hop language and ways to build on Hip Hop skills like rhyming and rapping in order to motivate students and promote literacy. | White Hip Hoppers Language and Identity in Post-Modern America

GBP 46.99
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Hip-Hop and Spoken Word Therapy in School Counseling Developing Culturally Responsive Approaches

Hip-Hop and Spoken Word Therapy in School Counseling Developing Culturally Responsive Approaches

This volume recognizes the need for culturally responsive forms of school counseling and draws on the author’s first-hand experiences of working with students in urban schools in the United States to illustrate how hip-hop culture can be effectively integrated into school counseling to benefit and support students. Detailing the theoretical development practical implementation and empirical evaluation of a holistic approach to school counseling dubbed Hip-Hop and Spoken Word Therapy (HHSWT) this volume documents the experiences of the school counsellor and students throughout a HHSWT pilot program in an urban high school. Chapters detail the socio-cultural roots of hip-hop and explain how hip-hop inspired practices such as writing lyrics producing mix tapes and using traditional hip-hop cyphers can offer an effective means of transcending White western approaches to counseling. The volume foregrounds the needs of racially diverse marginalized youth whilst also addressing the role and positioning of the school counselor in using HHSWT. Offering deep insights into the practical and conceptual challenges and benefits of this inspiring approach this book will be a useful resource for practitioners and scholars working at the intersections of culturally responsive and relevant forms of school counseling spoken word therapy and hip-hop studies. | Hip-Hop and Spoken Word Therapy in School Counseling Developing Culturally Responsive Approaches

GBP 36.99
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Hip-Hop Authenticity and the London Scene Living Out Authenticity in Popular Music

Hip-Hop Authenticity and the London Scene Living Out Authenticity in Popular Music

This book explores the highly-valued and often highly-charged ideal of authenticity in hip-hop — what it is why it is important and how it affects the day-to-day life of rap artists. By analyzing the practices identities and struggles that shape the lives of rappers in the London scene the study exposes the strategies and tactics that hip-hop practitioners engage in to negotiate authenticity on an everyday basis. In-depth interviews and fieldwork provide insight into the nature of authenticity in global hip-hop and the dynamics of cultural appropriation globalization marketization and digitization through a combined set of ethnographic theoretical and cultural analysis. Despite growing attention to authenticity in popular music this book is the first to offer a comprehensive theoretical model explaining the reflexive approaches hip-hop artists adopt to ‘live out’ authenticity in everyday life. This model will act as a blueprint for new studies in global hip-hop and be generative in other authenticity research and for other music genres such as punk rock and roll country and blues that share similar issues surrounding contested artist authenticity. | Hip-Hop Authenticity and the London Scene Living Out Authenticity in Popular Music

GBP 42.99
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Machine Learning for Managers

Machine Learning for Managers

Machine learning can help managers make better predictions automate complex tasks and improve business operations. Managers who are familiar with machine learning are better placed to navigate the increasingly digital world we live in. There is a view that machine learning is a highly technical subject that can only be understood by specialists. However many of the ideas that underpin machine learning are straightforward and accessible to anyone with a bit of curiosity. This book is for managers who want to understand what machine learning is about but who lack a technical background in computer science statistics or math. The book describes in plain language what machine learning is and how it works. In addition it explains how to manage machine learning projects within an organization. This book should appeal to anyone that wants to learn more about using machine learning to drive value in real-world organizations. | Machine Learning for Managers

GBP 29.99
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Hip Heritage and Museum Practices in Contemporary Hybrid Markets

Hip Heritage and Museum Practices in Contemporary Hybrid Markets

Focusing on how museums prioritize and produce content Hip Heritage demonstrates how economic issues play an ever-larger role in determining how cultural heritage is being framed and presented in contemporary heritage museums. Drawing on ethnographic fieldwork conducted by the authors at seven museums over the course of five years this book offers an in-depth analysis of heritage museums in Nordic Scandinavian and North American contexts. It investigates how economic realities coupled with the cultural contexts in which museums operate affect how these institutions organize manage and develop their collections to make themselves relevant in society. Once charged with the primary task of educating citizens about their cultural identity and history national museums and heritage organizations are also under pressure to rethink their market demands and meet stakeholders’ increasing interest in growing visitor numbers and expanding economic returns. Simultaneously many museums are part of a cultural sector with diminished public funding and increased competition for the existing financing. Against this background this book questions: ‘When the budget is tight whose heritage counts most?’ It considers museums as arenas for heritage politics in action on the local national and international levels as well as at the institutional level. Hip Heritage will appeal to scholars and students engaged in the study of ethnology heritage museum studies marketing leisure and tourism public folklore and sociology. | Hip Heritage and Museum Practices in Contemporary Hybrid Markets

GBP 130.00
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Bodies of Information Reading the VariAble Body from Roman Britain to Hip Hop

Bodies of Information Reading the VariAble Body from Roman Britain to Hip Hop

Bodies of Information initiates the Routledge Advances in the History of Bioethics series by encompassing interdisciplinary Bioethical discussions on a wide range of descriptions of bodies in relation to their contexts from varying perspectives: including literary analysis sociology criminology anthropology osteology and cultural studies to read a variety of types of artefacts from the Romano-British period to Hip Hop. Van Rensselaer Potter coined the phrase Global Bioethics to define human relationships with their contexts. This and subsequent volumes return to Potter’s founding vision from historical perspectives and asks how did we get here from then? | Bodies of Information Reading the VariAble Body from Roman Britain to Hip Hop

GBP 130.00
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Machine Learning Concepts Techniques and Applications

Machine Learning Concepts Techniques and Applications

Machine Learning: Concepts Techniques and Applications starts at basic conceptual level of explaining machine learning and goes on to explain the basis of machine learning algorithms. The mathematical foundations required are outlined along with their associations to machine learning. The book then goes on to describe important machine learning algorithms along with appropriate use cases. This approach enables the readers to explore the applicability of each algorithm by understanding the differences between them. A comprehensive account of various aspects of ethical machine learning has been discussed. An outline of deep learning models is also included. The use cases self-assessments exercises activities numerical problems and projects associated with each chapter aims to concretize the understanding. Features Concepts of Machine learning from basics to algorithms to implementation Comparison of Different Machine Learning Algorithms – When to use them & Why – for Application developers and Researchers Machine Learning from an Application Perspective – General & Machine learning for Healthcare Education Business Engineering Applications Ethics of machine learning including Bias Fairness Trust Responsibility Basics of Deep learning important deep learning models and applications Plenty of objective questions Use Cases Activity and Project based Learning Exercises The book aims to make the thinking of applications and problems in terms of machine learning possible for graduate students researchers and professionals so that they can formulate the problems prepare data decide features select appropriate machine learning algorithms and do appropriate performance evaluation. | Machine Learning Concepts Techniques and Applications

GBP 140.00
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Entropy Randomization in Machine Learning

Entropy Randomization in Machine Learning

Entropy Randomization in Machine Learning presents a new approach to machine learning—entropy randomization—to obtain optimal solutions under uncertainty (uncertain data and models of the objects under study). Randomized machine-learning procedures involve models with random parameters and maximum entropy estimates of the probability density functions of the model parameters under balance conditions with measured data. Optimality conditions are derived in the form of nonlinear equations with integral components. A new numerical random search method is developed for solving these equations in a probabilistic sense. Along with the theoretical foundations of randomized machine learning Entropy Randomization in Machine Learning considers several applications to binary classification modelling the dynamics of the Earth’s population predicting seasonal electric load fluctuations of power supply systems and forecasting the thermokarst lakes area in Western Siberia. Features • A systematic presentation of the randomized machine-learning problem: from data processing through structuring randomized models and algorithmic procedure to the solution of applications-relevant problems in different fields • Provides new numerical methods for random global optimization and computation of multidimensional integrals • A universal algorithm for randomized machine learning This book will appeal to undergraduates and postgraduates specializing in artificial intelligence and machine learning researchers and engineers involved in the development of applied machine learning systems and researchers of forecasting problems in various fields.

GBP 82.99
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Applied Machine Learning for Smart Data Analysis

Applied Machine Learning for Smart Data Analysis

The book focuses on how machine learning and the Internet of Things (IoT) has empowered the advancement of information driven arrangements including key concepts and advancements. Ontologies that are used in heterogeneous IoT environments have been discussed including interpretation context awareness analyzing various data sources machine learning algorithms and intelligent services and applications. Further it includes unsupervised and semi-supervised machine learning techniques with study of semantic analysis and thorough analysis of reviews. Divided into sections such as machine learning security IoT and data mining the concepts are explained with practical implementation including results. Key Features Follows an algorithmic approach for data analysis in machine learning Introduces machine learning methods in applications Address the emerging issues in computing such as deep learning machine learning Internet of Things and data analytics Focuses on machine learning techniques namely unsupervised and semi-supervised for unseen and seen data sets Case studies are covered relating to human health transportation and Internet applications | Applied Machine Learning for Smart Data Analysis

GBP 125.00
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UK Hip-Hop Grime and the City The Aesthetics and Ethics of London's Rap Scenes

UK Hip-Hop Grime and the City The Aesthetics and Ethics of London's Rap Scenes

Young people in London have contributed to the production of a distinctively British rap culture. This book moves beyond accounts of Hip-Hop’s marginality and shows with an examination of the production dissemination and use of rap in London how this cultural form plays an important role in the everyday lives of young Londoners and the formation of identities. Through in-depth interviews with a range of leading and emerging rap artists close analysis of rap music tracks and over two years of ethnographic research of London’s UK Hip-Hop and Grime scenes the author examines how black and white urban youths use rap to come together to explore their creative abilities. By combining these methodological approaches in the development of a critical participant observation the book reveals how the collaborative work of these urban youths produced these politically significant subcultures through which they resist unfair and illegitimate policing practices and attempt to develop their economic autonomy in a city marred by immense social and economic inequalities. | UK Hip-Hop Grime and the City The Aesthetics and Ethics of London's Rap Scenes

GBP 42.99
1

Machine Learning Theory and Practice

Machine Learning Theory and Practice

Machine Learning: Theory and Practice provides an introduction to the most popular methods in machine learning. The book covers regression including regularization tree-based methods including Random Forests and Boosted Trees Artificial Neural Networks including Convolutional Neural Networks (CNNs) reinforcement learning and unsupervised learning focused on clustering. Topics are introduced in a conceptual manner along with necessary mathematical details. The explanations are lucid illustrated with figures and examples. For each machine learning method discussed the book presents appropriate libraries in the R programming language along with programming examples. Features: Provides an easy-to-read presentation of commonly used machine learning algorithms in a manner suitable for advanced undergraduate or beginning graduate students and mathematically and/or programming-oriented individuals who want to learn machine learning on their own. Covers mathematical details of the machine learning algorithms discussed to ensure firm understanding enabling further exploration Presents worked out suitable programming examples thus ensuring conceptual theoretical and practical understanding of the machine learning methods. This book is aimed primarily at introducing essential topics in Machine Learning to advanced undergraduates and beginning graduate students. The number of topics has been kept deliberately small so that it can all be covered in a semester or a quarter. The topics are covered in depth within limits of what can be taught in a short period of time. Thus the book can provide foundations that will empower a student to read advanced books and research papers. | Machine Learning Theory and Practice

GBP 110.00
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Introduction to Machine Learning and Bioinformatics

Introduction to Machine Learning and Bioinformatics

Lucidly Integrates Current Activities Focusing on both fundamentals and recent advances Introduction to Machine Learning and Bioinformatics presents an informative and accessible account of the ways in which these two increasingly intertwined areas relate to each other. Examines Connections between Machine Learning & Bioinformatics The book begins with a brief historical overview of the technological developments in biology. It then describes the main problems in bioinformatics and the fundamental concepts and algorithms of machine learning. After forming this foundation the authors explore how machine learning techniques apply to bioinformatics problems such as electron density map interpretation biclustering DNA sequence analysis and tumor classification. They also include exercises at the end of some chapters and offer supplementary materials on their website. Explores How Machine Learning Techniques Can Help Solve Bioinformatics Problems Shedding light on aspects of both machine learning and bioinformatics this text shows how the innovative tools and techniques of machine learning help extract knowledge from the deluge of information produced by today’s biological experiments.

GBP 59.99
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Cost-Sensitive Machine Learning

Cost-Sensitive Machine Learning

In machine learning applications practitioners must take into account the cost associated with the algorithm. These costs include: Cost of acquiring training dataCost of data annotation/labeling and cleaningComputational cost for model fitting validation and testingCost of collecting features/attributes for test dataCost of user feedback collectionCost of incorrect prediction/classificationCost-Sensitive Machine Learning is one of the first books to provide an overview of the current research efforts and problems in this area. It discusses real-world applications that incorporate the cost of learning into the modeling process. The first part of the book presents the theoretical underpinnings of cost-sensitive machine learning. It describes well-established machine learning approaches for reducing data acquisition costs during training as well as approaches for reducing costs when systems must make predictions for new samples. The second part covers real-world applications that effectively trade off different types of costs. These applications not only use traditional machine learning approaches but they also incorporate cutting-edge research that advances beyond the constraining assumptions by analyzing the application needs from first principles. Spurring further research on several open problems this volume highlights the often implicit assumptions in machine learning techniques that were not fully understood in the past. The book also illustrates the commercial importance of cost-sensitive machine learning through its coverage of the rapid application developments made by leading companies and academic research labs.

GBP 59.99
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Teaching with Hip Hop in the 7-12 Grade Classroom A Guide to Supporting Students’ Critical Development Through Popular Texts

Teaching with Hip Hop in the 7-12 Grade Classroom A Guide to Supporting Students’ Critical Development Through Popular Texts

This book presents practical approaches for engaging with Hip Hop music and culture in the classroom. As the most popular form of music and youth culture today Hip Hop is a powerful medium through which students can explore their identities and locate themselves in our social world. Designed for novice and veteran teachers this book is filled with pedagogical tools strategies lesson plans and real-world guidance on integrating Hip Hop into the curriculum. Through a wide range of approaches and insights Lauren Leigh Kelly invites teachers to look to popular media culture to support students’ development and critical engagement with texts. Covering classroom practice assessment strategies and curricular and standards-based guidelines the lessons in this book will bolster students’ linguistic and critical thinking skills and help students to better understand and act upon the societal forces around them. The varied activities assignments and handouts are designed to inspire teachers and easily facilitate modification of the assignments to suit their own contexts. The impact of Hip Hop on youth culture is undeniable now more than ever; this is the perfect book for teachers who want to connect with their students support meaning-making in the classroom affirm the validity of youth culture and foster an inclusive and engaging classroom environment. | Teaching with Hip Hop in the 7-12 Grade Classroom A Guide to Supporting Students’ Critical Development Through Popular Texts

GBP 26.99
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Stochastic Optimization for Large-scale Machine Learning

Stochastic Optimization for Large-scale Machine Learning

Advancements in the technology and availability of data sources have led to the `Big Data' era. Working with large data offers the potential to uncover more fine-grained patterns and take timely and accurate decisions but it also creates a lot of challenges such as slow training and scalability of machine learning models. One of the major challenges in machine learning is to develop efficient and scalable learning algorithms i. e. optimization techniques to solve large scale learning problems. Stochastic Optimization for Large-scale Machine Learning identifies different areas of improvement and recent research directions to tackle the challenge. Developed optimisation techniques are also explored to improve machine learning algorithms based on data access and on first and second order optimisation methods. Key Features: Bridges machine learning and Optimisation. Bridges theory and practice in machine learning. Identifies key research areas and recent research directions to solve large-scale machine learning problems. Develops optimisation techniques to improve machine learning algorithms for big data problems. The book will be a valuable reference to practitioners and researchers as well as students in the field of machine learning.

GBP 150.00
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Machine Learning for Neuroscience A Systematic Approach

Machine Learning for Neuroscience A Systematic Approach

This book addresses the growing need for machine learning and data mining in neuroscience. The book offers a basic overview of the neuroscience machine learning and the required math and programming necessary to develop reliable working models. The material is presented in a easy to follow user-friendly manner and is replete with fully working machine learning code. Machine Learning for Neuroscience: A Systematic Approach tackles the needs of neuroscience researchers and practitioners that have very little training relevant to machine learning. The first section of the book provides an overview of necessary topics in order to delve into machine learning including basic linear algebra and Python programming. The second section provides an overview of neuroscience and is directed to the computer science oriented readers. The section covers neuroanatomy and physiology cellular neuroscience neurological disorders and computational neuroscience. The third section of the book then delves into how to apply machine learning and data mining to neuroscience and provides coverage of artificial neural networks (ANN) clustering and anomaly detection. The book contains fully working code examples with downloadable working code. It also contains lab assignments and quizzes making it appropriate for use as a textbook. The primary audience is neuroscience researchers who need to delve into machine learning programmers assigned neuroscience related machine learning projects and students studying methods in computational neuroscience. | Machine Learning for Neuroscience A Systematic Approach

GBP 82.99
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Machine Learning for Healthcare Handling and Managing Data

Machine Learning for Healthcare Handling and Managing Data

Machine Learning for Healthcare: Handling and Managing Data provides in-depth information about handling and managing healthcare data through machine learning methods. This book expresses the long-standing challenges in healthcare informatics and provides rational explanations of how to deal with them. Machine Learning for Healthcare: Handling and Managing Data provides techniques on how to apply machine learning within your organization and evaluate the efficacy suitability and efficiency of machine learning applications. These are illustrated in a case study which examines how chronic disease is being redefined through patient-led data learning and the Internet of Things. This text offers a guided tour of machine learning algorithms architecture design and applications of learning in healthcare. Readers will discover the ethical implications of machine learning in healthcare and the future of machine learning in population and patient health optimization. This book can also help assist in the creation of a machine learning model performance evaluation and the operationalization of its outcomes within organizations. It may appeal to computer science/information technology professionals and researchers working in the area of machine learning and is especially applicable to the healthcare sector. The features of this book include: A unique and complete focus on applications of machine learning in the healthcare sector. An examination of how data analysis can be done using healthcare data and bioinformatics. An investigation of how healthcare companies can leverage the tapestry of big data to discover new business values. An exploration of the concepts of machine learning along with recent research developments in healthcare sectors. | Machine Learning for Healthcare Handling and Managing Data

GBP 115.00
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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
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