Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Technical and mathematical material is augmented with explanatory worked examples, and case studies illustrate the application of these models in the broader business context. After discussing the trajectory from data to insight to decision, the book describes four approaches to machine learning: information-based learning, similarity-based learning, probability-based learning, and error-based learning. Each of these approaches is introduced by a nontechnical explanation of the underlying concept, followed by mathematical models and algorithms illustrated by detailed worked examples. Finally, the book considers techniques for evaluating prediction models and offers two case studies that describe specific data analytics projects through each phase of development, from formulating the business problem to implementation of the analytics solution. The book, informed by the authors' many years of teaching machine learning, and working on predictive data analytics projects, is suitable for use by undergraduates in computer science, engineering, mathematics, or statistics; by graduate students in disciplines with applications for predictive data analytics; and as a reference for professionals.

Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies

What are the key issues confronting the call for a new critical inquiry? How to create a new family of terms for a new critical inquiry, terms slip and slide, fall over one another: critical embodied, transformative, dialogic, reflexive, participatory, emancipatory, narratives of resistance, plateaus, planes of composition, Deleuze, Guattari, assemblages, affect, nomadic inquiry, rhizomatic, love, loss, praxis writing as a way of being in the world. Writing framed around acts of activism and resistance. How do we move forward?

Critical Qualitative Inquiry

Qualitative researchers are under increasing time demands to rapidly collect, analyze, and disseminate the results of their findings. Adaptations to qualitative methods may be required to enable the use of timely and relevant qualitative data across multiple disciplinary settings. The aim of this review is to briefly explore the ways in which data collection and analysis methods have been adapted in qualitative research to deal with short study timeframes. We carried out a two-phased systematic review of the literature and determined there were six primary reasons why rapid techniques were used: (a) reduce time, (b) reduce cost, (c) increase the amount of collected data, (d) improve efficiency, (e) improve accuracy, and (f) obtain a closer approximation to the narrated realities of research participants. In addition, we analyzed the characteristics of the articles, how traditional methods were adapted and evaluated, the benefits and limitations of using rapid techniques, and future recommendations.

/pdf/rapid-techniques-in-qualitative-research-a-critical-review-dvsj6dhe91.pdf

Rapid Techniques in Qualitative Research: A Critical Review of the Literature

This paper asks “after what” and situates qualitative research in the present moment in the midst of various “deaths” and “returns.” With a focus on fleshing out post-qualitative research, it first sketches efforts to discipline qualitative research via standards and rubrics as a part of neoliberal govenmentality and then elaborates what post-qualitative might mean via four exemplars. The first is from Sweden, a focus on relational entangled data analysis in the feminist classroom; the next two exemplars are collaborative studies from Australia at the intersection of Western and Aboriginal knowledge systems; the final exemplar is from Egypt, a feminist post-colonial study of the women’s mosque movement. The paper concludes with a call to “imagine forward” out of troubling a narrow scientificity and enacting an “after” of neoliberalism.

Methodology-21: what do we do in the afterward?

“Big Data” and “artificial intelligence” have captured the public imagination and are profoundly shaping social, economic, and political spheres. Through an interrogation of the histories, perceptions, and practices that shape these technologies, we problematize the myths that animate the supposed “magic” of these systems. In the face of an increasingly widespread blind faith in data-driven technologies, we argue for grounding machine learning-based practices and untethering them from hype and fear cycles. One path forward is to develop a rich methodological framework for addressing the strengths and weaknesses of doing data analysis. Through provocatively reimagining machine learning as computational ethnography, we invite practitioners to prioritize methodological reflection and recognize that all knowledge work is situated practice.

Situating methods in the magic of Big Data and AI

Over the past two decades anthropologists have been challenged to rethink the nature of ethnographic research, the meaning of fieldwork, and the role of ethnographers. Ethnographic fieldwork has cultural, social, and political ramifications that have been much discussed and acted upon, but the training of ethnographers still follows a very traditional pattern; this volume engages and takes its point of departure in the experiences of ethnographers-in-the-making that encourage alternative models for professional training in fieldwork and its intellectual contexts. The work done by contributors to Fieldwork Is Not What It Used to Be articulates, at the strategic point of career-making research, features of this transformation in progress. Setting aside traditional anxieties about ethnographic authority, the authors revisit fieldwork with fresh initiative. In search of better understandings of the contemporary research process itself, they assess the current terms of the engagement of fieldworkers with their subjects, address the constructive, open-ended forms by which the conclusions of fieldwork might take shape, and offer an accurate and useful description of what it means to become-and to be-an anthropologist today. Contributors: Lisa Breglia, George Mason University; Jae A. Chung, Aalen University; James D. Faubion, Rice University; Michael M. J. Fischer, MIT; Kim Fortun, Rensselaer Polytechnic Institute; Jennifer A. Hamilton, Hampshire College; Christopher M. Kelty, UCLA; George E. Marcus, University of California, Irvine; Nahal Naficy, Rice University; Kristin Peterson, University of California, Irvine; Deepa S. Reddy, University of Houston-Clear Lake

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Fieldwork Is Not What It Used to Be: Learning Anthropology's Method in a Time of Transition

This essay suggests affinities between contemporary changes in classic research practices of anthropological ethnography and forms of research built into projects of conceptual, performance and installation art. The scene of fieldwork encounter is transformed by the challenges of new objects and conditions of research in anthropology. These challenges are thought through the description of an exemplary conceptual art project produced at the Tate Modern Museum, while allowing for the differences between the aims and ethics of anthropology and those of art.

Contemporary Fieldwork Aesthetics in Art and Anthropology: Experiments in Collaboration and Intervention

How was the Bush administration able to convince both Congress and the American public to support the plan to go to war against Iraq in spite of poorly supported claims about the danger Saddam Hussein posed? Conventional wisdom holds that, because neither party voiced strong opposition, the press in turn failed to adequately scrutinize the administration's arguments, and public opinion passively followed. Drawing on the most comprehensive survey of public reactions to the war, Stanley Feldman, Leonie Huddy, and George E. Marcus revisit this critical period and come back with a different story. Not only did the Bush administration's carefully orchestrated campaign fail to raise Republican support for the war, opposition by Democrats and political independents actually increased with exposure to the news. But how we get our news matters: People who read the newspaper were more likely to engage critically with what was coming out of Washington, especially when exposed to the sort of high-quality investigative journalism still being written at traditional newspapers-and in short supply across other forms of media. Making a case for the crucial role of a press that lives up to the best norms and practices of print journalism, the book lays bare what is at stake for the functioning of democracy-especially in times of crisis-as newspapers increasingly become an endangered species.

Going to War in Iraq: When Citizens and the Press Matter

Opinions : What business anthropology is, what it might become… and what, perhaps, it should not be

https://rauli.cbs.dk/index.php/jba/article/download/3944/4438

Opinions: What business anthropology is, what it might become… and what, perhaps, it should not be

Clifford Geertz, in his 1973 Interpretation of Cultures, brought about an epistemological revolution unprecedented since Lvi-Strauss's structuralism. In place of Lvi-Strauss's deep structures, Geertz placed deep meaningsand thick descriptions,in a synthesis of the American tradition of cultural anthropology and new qualitative approaches in the humanities. He powerfully synthesized and gave the heart of anthropology's tradition a new and enriched conceptual language that came to be known as interpretive anthropologyand that placed meaning over form in the center of social analysis. This book maps the circuits of crossfertilizations among disciplines in the humanities and social sciences that have developed from Geertz's interpretive turn.Panourgia and Marcus bring together anthropologists working in various parts of the world (Greece, Bali, Taiwan, the United States) with classicists, historians, and scholars in cultural studies. The volume takes into account global realities such as 9/11 and the opening of the Cypriot Green Line and explores the different ways in which Geertz's anthropology has shaped the pedagogy of their disciplines and enabled discussions among them. Focusing on place and time, locations and temporalities, the essays in this volume interrogate the fixity of interpretation and open new spaces of inquiry. The volume addresses a wide audience fromthe humanities and the social sciences-anyone interested in the development of a new humanism that will relocate the human as a subject of social action.

Ethnographica Moralia: Experiments in Interpretive Anthropology

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