<p>This book brings together theories of world society with poststructuralist and postcolonial work on modern subjectivity to understand the universalising and particularising processes of globalisation. It addresses a theoretical void in global studies by attending to the co-constituted process through which modern subjectivities and global processes emerge and interact. The editors outline a key problem in global studies, which is a lack of engagement between the local/particular/individual and the ‘universalising’ processes in which they are situated. The volume deals with this concern with contributions from historical sociologists, poststructuralist and postcolonial scholars and by focusing in the Middle East, religion in global modernity and non-human subjectivities.<br></p>
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<div> Bridge the gap between a high-level understanding of how an algorithm works and knowing the nuts and bolts to tune your models better. This book will give you the confidence and skills when developing all the major machine learning models. In <i>Pro Machine Learning Algorithms</i>, you will first develop the algorithm in Excel so that you get a practical understanding of all the levers that can be tuned in a model, before implementing the models in Python/R. </div> <div> <br> </div> <div> You will cover all the major algorithms: supervised and unsupervised learning, which include linear/logistic regression; k-means clustering; PCA; recommender system; decision tree; random forest; GBM; and neural networks. You will also be exposed to the latest in deep learning through CNNs, RNNs, and word2vec for text mining. You will be learning not only the algorithms, but also the concepts of feature engineering to maximize the performance of a model. You will see the theory along with case studies, such as sentiment classification, fraud detection, recommender systems, and image recognition, so that you get the best of both theory and practice for the vast majority of the machine learning algorithms used in industry. Along with learning the algorithms, you will also be exposed to running machine-learning models on all the major cloud service providers. </div> <div> <br> </div> <div> You are expected to have minimal knowledge of statistics/software programming and by the end of this book you should be able to work on a machine learning project with confidence.  </div> <div> <br> </div> <div> <b>What You Will Learn</b> </div> <div> <ul> <li>Get an in-depth understanding of all the major machine learning and deep learning algorithms <br></li> <li>Fully appreciate the pitfalls to avoid while building models<br></li> <li>Implement machine learning algorithms in the cloud <br></li> <li>Follow a hands-on approach through case studies for each algorithm</li> <li>Gain the tricks of ensemble learning to build more accurate models</li> <li>Discover the basics of programming in R/Python and the Keras framework for deep learning</li> </ul> </div> <div> <b>Who This Book Is For</b> </div> <div> <br> </div> <div> Business analysts/ IT professionals who want to transition into data science roles. Data scientists who want to solidify their knowledge in machine learning. </div> <div> <br> </div> <div> <br> <br> </div>
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<p>This pioneering edited collection explores the question of how organizations manage the future. Moving away from traditional research which focuses on the past, the editors problematize the future as an inherent but under-examined part of organizing. Arguing that the future acts as both a driver of and a performative result of organizing, the book asks how organizations conceptualize and deal with the future and what processes are in place to handle things to come. With empirical research examining the practices, discourses and concepts that play key roles, organizations and their approaches are scrutinized. A timely compendium of theoretical discussion and practical implications on the relevance of the future, this book is essential reading for those interested in organization, sociology and management studies.</p>
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<p>This book examines the most popular American television shows of the nineties—a decade at the last gasp of network television’s cultural dominance. At a time when American culture seemed increasingly fragmented, television still offered something close to a site of national consensus. <i>The Lonely Nineties</i> focuses on a different set of popular nineties television shows in each chapter and provides an in-depth reading of scenes, characters or episodes that articulate the overarching “ideology” of each series. It ultimately argues that television shows such as <i>Seinfeld</i>, <i>Friends</i>, <i>Law & Order</i> and <i>The Simpsons</i> helped to shape the ways Americans thought about themselves in relation to their friends, families, localities, and nation. It demonstrates how these shows engaged with a variety of problems in American civic life, responded to the social isolation of the age, and occasionally imagined improvements for community in America. <br></p> <p></p>
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<div> This book draws on the perspectives of authors, supervisors, reviewers and editors to present a rich, nuanced picture of the practices and challenges involved in writing for scholarly publication. Organized into four sections, it brings together international experts and junior scholars from a variety of disciplines to examine both publishing experiences and current research in the field. In doing so, it challenges the view that Native English speakers have a relatively easy ride in this process and that it is only English as an Additional Language (EAL) scholars who experience difficulties. The volume highlights central themes of writing for publication, including mentoring and collaborative writing, the writing experience, text mediation, the review process, journal practices and editorial decision-making, and makes a strong case for taking a more inclusive approach to research in this domain. This edited collection will appeal to students and scholars of applied linguistics, English for academic purposes, academic writing, and second language writing. <br> </div> <div> <br> </div> <div> <br> </div> <div> <br> </div> <div> <br> </div> <div> <br> </div> <div> <br> </div>
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<p></p> <p>This edited volume discusses the development theory advanced by the Economic Commission for Latin America and the Caribbean (ECLAC) in the 1940s, and its transformations through the second half of the twentieth century. In this time frame, the authors identify two approaches: structuralism (1950-1980) and neo-structuralism (1980-onwards). The contributors describe the transition in terms of economic theory and policy; the conceptualization of the State; and the consideration of space on regional and global scales. They argue that structuralism is still relevant for understanding the current problems of development if a careful and appropriate recovery and update of its main ideas and concepts is made in relation to the current context of globalization and internationalization of production and finance.</p> <p></p>
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<p>This anthropological study of university governance organizations has four main purposes. It aims to describe the principles of effective faculty governance organizations and shared governance; to help mobilize opposition to a large and extremely well-funded system of political attacks aimed at destroying faculty governance organizations; to demonstrate the value of the theory of human social organizations; and to enable universities to become more effective in generating the intellectual advances we must make in order to solve the current global crisis of sustainability and political instability. Political democracy depends on an educated public, and academic democracy is integral to producing such knowledge.  <br></p>
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<p>Understanding teachers’ professional identities and their development is key to unpacking teachers’ professional lives, the quality of their instruction, their motivation and commitment to teach, and their career decision-making. This book features a number of scholars from around the world who represent a variety of disciplines, scientific paradigms, and inquiry methods in researching teacher identity. By bringing these chapters together, this volume initiates active scholarly conversations and extends the boundaries of teacher identity research and practice. This collection of chapters provides significant insight into teacher identity and will be essential reading for pre-service and in-service teachers, teacher educators, school administrators, professional developers, and policy makers at various levels. </p> <br>
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