Outside In The Teaching Machine

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Outside in the Teaching Machine

Gayatri Chakravorty Spivak
Outside in the Teaching Machine Book PDF

Author : Gayatri Chakravorty Spivak
Publisher : Routledge
Page : 394 pages
File Size : 45,5 Mb
Release : 2012-12-06
Category : Education
ISBN : 9781135070571

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Outside in the Teaching Machine by Gayatri Chakravorty Spivak Pdf

Gayatri Chakravorty Spivak is one of the most pre-eminent postcolonial theorists writing today and a scholar of genuinely global reputation. This collection, first published in 1993, presents some of Spivak’s most engaging essays on works of literature such as Salman Rushdie's controversial Satanic Verses, and twentieth century thinkers such as Jacques Derrida and Karl Marx. Spivak relentlessly questions and deconstructs power structures where ever they operate. In doing so, she provides a voice for those who can not speak, proving that the true work of resistance takes place in the margins, Outside in the Teaching Machine.

Inside the Teaching Machine

Catherine Chaput
Inside the Teaching Machine Book PDF

Author : Catherine Chaput
Publisher : University of Alabama Press
Page : 341 pages
File Size : 41,8 Mb
Release : 2008-05-22
Category : Language Arts & Disciplines
ISBN : 9780817316099

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Inside the Teaching Machine by Catherine Chaput Pdf

Inside the Teaching Machine argues that the U.S. public research university has always been a vital component of the capitalist political economy. Advocates of higher education have long contended that universities should operate above the crude material negotiations of economics and politics. Such arguments often ignore the historical reality that the American university system emerged through, and in service to, a capitalist political economy.

Teaching Machines

Audrey Watters
Teaching Machines Book PDF

Author : Audrey Watters
Publisher : MIT Press
Page : 325 pages
File Size : 49,9 Mb
Release : 2023-02-07
Category : Education
ISBN : 9780262546065

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Teaching Machines by Audrey Watters Pdf

How ed tech was born: Twentieth-century teaching machines--from Sidney Pressey's mechanized test-giver to B. F. Skinner's behaviorist bell-ringing box. Contrary to popular belief, ed tech did not begin with videos on the internet. The idea of technology that would allow students to "go at their own pace" did not originate in Silicon Valley. In Teaching Machines, education writer Audrey Watters offers a lively history of predigital educational technology, from Sidney Pressey's mechanized positive-reinforcement provider to B. F. Skinner's behaviorist bell-ringing box. Watters shows that these machines and the pedagogy that accompanied them sprang from ideas--bite-sized content, individualized instruction--that had legs and were later picked up by textbook publishers and early advocates for computerized learning. Watters pays particular attention to the role of the media--newspapers, magazines, television, and film--in shaping people's perceptions of teaching machines as well as the psychological theories underpinning them. She considers these machines in the context of education reform, the political reverberations of Sputnik, and the rise of the testing and textbook industries. She chronicles Skinner's attempts to bring his teaching machines to market, culminating in the famous behaviorist's efforts to launch Didak 101, the "pre-verbal" machine that taught spelling. (Alternate names proposed by Skinner include "Autodidak," "Instructomat," and "Autostructor.") Telling these somewhat cautionary tales, Watters challenges what she calls "the teleology of ed tech"--the idea that not only is computerized education inevitable, but technological progress is the sole driver of events.

Inside the Teaching Machine

Catherine Chaput
Inside the Teaching Machine Book PDF

Author : Catherine Chaput
Publisher : University Alabama Press
Page : 0 pages
File Size : 53,5 Mb
Release : 2015-06-15
Category : Political Science
ISBN : 0817358331

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Inside the Teaching Machine by Catherine Chaput Pdf

Advocates of higher education have long contended that universities should operate above the crude material negotiations of economics and politics. Such arguments, ignore the historical reality that the American university system emerged through, and in service to, a capitalist political economy that unevenly combines corporate, state, and civil interests. As the corporatization of U.S. universities becomes nearly impossible to deny, the common response from many academics has been a superior stand against the contamination of the professional ideal by tainted corporate interests. Inside the Teaching Machine proposes a correction to this view through the lens of historical materialism. Chaput argues that the U.S. public research university has always been a vital component of the capitalist political economy. While conventional narratives of public higher education emphasize civic preparation and upward mobility, Chaput demonstrates that supposedly egalitarian policies like the Morrill Land-Grant Act and the G.I. Bill served the changing interests of capitalism much as education, creating a professional class that supports the capitalist political economy. Chaput also focuses on the relationship between American universities and globalization, showing how the trend toward professionalization contributes to the production of surplus value, and the ways that the American university model circulates outside the United States. Chaput concludes by advocating rhetorical strategies for the professional who opposes the capitalist logic of the global university system, proposing concrete options for engaging and redirecting globalization within the university system.

An Introduction to Machine Learning

Miroslav Kubat
An Introduction to Machine Learning Book PDF

Author : Miroslav Kubat
Publisher : Springer Nature
Page : 458 pages
File Size : 45,8 Mb
Release : 2021-09-25
Category : Computers
ISBN : 9783030819354

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An Introduction to Machine Learning by Miroslav Kubat Pdf

This textbook offers a comprehensive introduction to Machine Learning techniques and algorithms. This Third Edition covers newer approaches that have become highly topical, including deep learning, and auto-encoding, introductory information about temporal learning and hidden Markov models, and a much more detailed treatment of reinforcement learning. The book is written in an easy-to-understand manner with many examples and pictures, and with a lot of practical advice and discussions of simple applications. The main topics include Bayesian classifiers, nearest-neighbor classifiers, linear and polynomial classifiers, decision trees, rule-induction programs, artificial neural networks, support vector machines, boosting algorithms, unsupervised learning (including Kohonen networks and auto-encoding), deep learning, reinforcement learning, temporal learning (including long short-term memory), hidden Markov models, and the genetic algorithm. Special attention is devoted to performance evaluation, statistical assessment, and to many practical issues ranging from feature selection and feature construction to bias, context, multi-label domains, and the problem of imbalanced classes.

The Post-Colonial Critic

Gayatri Chakravorty Spivak,Sarah Harasym
The Post Colonial Critic Book PDF

Author : Gayatri Chakravorty Spivak,Sarah Harasym
Publisher : Routledge
Page : 180 pages
File Size : 45,7 Mb
Release : 2014-04-23
Category : Literary Criticism
ISBN : 9781134710850

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The Post-Colonial Critic by Gayatri Chakravorty Spivak,Sarah Harasym Pdf

Gayatri Spivak, one of our best known cultural and literary theorists, addresses a vast range of political questions with both pen and voice in this unique book. The Post-Colonial Critic brings together a selection of interviews and discussions in which she has taken part over the past five years; together they articulate some of the most compelling politico-theoretical issues of the present. In these lively texts, students of Spivak's work will identify her unmistakeable voice as she speaks on questions of representation and self-representation, the politicization of deconstruction; the situations of post-colonial critics; pedagogical responsibility; and political strategies.

The Spivak Reader

Gayatri Spivak
The Spivak Reader Book PDF

Author : Gayatri Spivak
Publisher : Routledge
Page : 345 pages
File Size : 45,9 Mb
Release : 2013-10-18
Category : Art
ISBN : 9781135217129

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The Spivak Reader by Gayatri Spivak Pdf

Among the foremost feminist critics to have emerged to international eminence over the last fifteen years, Gayatri Chakravorty Spivak has relentlessly challenged the high ground of established theoretical discourse in literary and cultural studies. Although her rigorous reading of various authors has often rendered her work difficult terrain for those unfamiliar with poststructuralism, this collection makes significant strides in explicating Spivak's complicated theories of reading.

Other Asias

Gayatri Chakravorty Spivak
Other Asias Book PDF

Author : Gayatri Chakravorty Spivak
Publisher : Wiley-Blackwell
Page : 386 pages
File Size : 42,5 Mb
Release : 2008-01-03
Category : History
ISBN : UOM:39015069972019

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Other Asias by Gayatri Chakravorty Spivak Pdf

In this major intervention into the “Asian Century,” Gayatri Chakravorty Spivak challenges the reader to re-think Asia, in its political and cultural complexity, in the global South and in the metropole. Among the chapters in this volume are: “Foucault and Najibullah,” in which she looks at Afghanistan in its own historical and gendered narrative “Moving Devi,” in which she addresses the authority of autobiography and writes as a diasporic “Responsibility,” in which she examines the limits of “theory” upon the floodplains of Bangladesh “Megacity,” where she reads cyberliteracy in Bangalore. Other chapters focus on, among other things, Human Rights, and the turbulent “present” of the Caucasus.

The Machine Stops. Illustrated

E.M. Forster
The Machine Stops Illustrated Book PDF

Author : E.M. Forster
Publisher : Strelbytskyy Multimedia Publishing
Page : 48 pages
File Size : 52,8 Mb
Release : 2023-12-08
Category : Literary Collections
ISBN : PKEY:SMP2200000109293

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The Machine Stops. Illustrated by E.M. Forster Pdf

"The Machine Stops" by E.M. Forster, now presented in a beautifully illustrated edition, is a visionary and thought-provoking novella that explores the perils of technological dependency and the potential consequences of a society overly reliant on machines. Set in a future where humanity lives underground, isolated in individual cells, their every need attended to by an all-encompassing Machine, the story follows Vashti, a lecturer and true believer in the Machine's omnipotence. However, as the Machine begins to show signs of malfunction, Vashti's worldview is challenged, leading to a series of events that question the very foundations of her society. "The Machine Stops" remains a compelling exploration of the dangers of sacrificing human connections for the convenience of technology. This illustrated edition provides a fresh perspective on Forster's timeless work, making it an engaging and visually captivating experience for both new and returning readers.

Women, Culture, and International Relations

Vivienne Jabri,Eleanor O'Gorman
Women Culture and International Relations Book PDF

Author : Vivienne Jabri,Eleanor O'Gorman
Publisher : Lynne Rienner Publishers
Page : 232 pages
File Size : 49,8 Mb
Release : 1999
Category : Feminist theory
ISBN : 155587701X

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Women, Culture, and International Relations by Vivienne Jabri,Eleanor O'Gorman Pdf

This text expands the agenda of feminist international relations by considering the heterogeneity of women's voices in the realm of world politics, as well as the challenges that this diversity poses. The authors develop a theoretical discourse that incorporates the combined notion of difference and emancipation in a discussion of the agency of women and their transformative capacity. They use a normative approach to understanding the multiple subjectivities of women and the plurality of their experiences.

Information Theory, Inference and Learning Algorithms

David J. C. MacKay
Information Theory Inference and Learning Algorithms Book PDF

Author : David J. C. MacKay
Publisher : Cambridge University Press
Page : 694 pages
File Size : 53,5 Mb
Release : 2003-09-25
Category : Computers
ISBN : 0521642981

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Information Theory, Inference and Learning Algorithms by David J. C. MacKay Pdf

Table of contents

Deep Learning and the Game of Go

Kevin Ferguson,Max Pumperla
Deep Learning and the Game of Go Book PDF

Author : Kevin Ferguson,Max Pumperla
Publisher : Simon and Schuster
Page : 611 pages
File Size : 41,8 Mb
Release : 2019-01-06
Category : Computers
ISBN : 9781638354017

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Deep Learning and the Game of Go by Kevin Ferguson,Max Pumperla Pdf

Summary Deep Learning and the Game of Go teaches you how to apply the power of deep learning to complex reasoning tasks by building a Go-playing AI. After exposing you to the foundations of machine and deep learning, you'll use Python to build a bot and then teach it the rules of the game. Foreword by Thore Graepel, DeepMind Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology The ancient strategy game of Go is an incredible case study for AI. In 2016, a deep learning-based system shocked the Go world by defeating a world champion. Shortly after that, the upgraded AlphaGo Zero crushed the original bot by using deep reinforcement learning to master the game. Now, you can learn those same deep learning techniques by building your own Go bot! About the Book Deep Learning and the Game of Go introduces deep learning by teaching you to build a Go-winning bot. As you progress, you'll apply increasingly complex training techniques and strategies using the Python deep learning library Keras. You'll enjoy watching your bot master the game of Go, and along the way, you'll discover how to apply your new deep learning skills to a wide range of other scenarios! What's inside Build and teach a self-improving game AI Enhance classical game AI systems with deep learning Implement neural networks for deep learning About the Reader All you need are basic Python skills and high school-level math. No deep learning experience required. About the Author Max Pumperla and Kevin Ferguson are experienced deep learning specialists skilled in distributed systems and data science. Together, Max and Kevin built the open source bot BetaGo. Table of Contents PART 1 - FOUNDATIONS Toward deep learning: a machine-learning introduction Go as a machine-learning problem Implementing your first Go bot PART 2 - MACHINE LEARNING AND GAME AI Playing games with tree search Getting started with neural networks Designing a neural network for Go data Learning from data: a deep-learning bot Deploying bots in the wild Learning by practice: reinforcement learning Reinforcement learning with policy gradients Reinforcement learning with value methods Reinforcement learning with actor-critic methods PART 3 - GREATER THAN THE SUM OF ITS PARTS AlphaGo: Bringing it all together AlphaGo Zero: Integrating tree search with reinforcement learning

Python Machine Learning

Sebastian Raschka
Python Machine Learning Book PDF

Author : Sebastian Raschka
Publisher : Packt Publishing Ltd
Page : 455 pages
File Size : 40,6 Mb
Release : 2015-09-23
Category : Computers
ISBN : 9781783555147

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Python Machine Learning by Sebastian Raschka Pdf

Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analytics About This Book Leverage Python's most powerful open-source libraries for deep learning, data wrangling, and data visualization Learn effective strategies and best practices to improve and optimize machine learning systems and algorithms Ask – and answer – tough questions of your data with robust statistical models, built for a range of datasets Who This Book Is For If you want to find out how to use Python to start answering critical questions of your data, pick up Python Machine Learning – whether you want to get started from scratch or want to extend your data science knowledge, this is an essential and unmissable resource. What You Will Learn Explore how to use different machine learning models to ask different questions of your data Learn how to build neural networks using Keras and Theano Find out how to write clean and elegant Python code that will optimize the strength of your algorithms Discover how to embed your machine learning model in a web application for increased accessibility Predict continuous target outcomes using regression analysis Uncover hidden patterns and structures in data with clustering Organize data using effective pre-processing techniques Get to grips with sentiment analysis to delve deeper into textual and social media data In Detail Machine learning and predictive analytics are transforming the way businesses and other organizations operate. Being able to understand trends and patterns in complex data is critical to success, becoming one of the key strategies for unlocking growth in a challenging contemporary marketplace. Python can help you deliver key insights into your data – its unique capabilities as a language let you build sophisticated algorithms and statistical models that can reveal new perspectives and answer key questions that are vital for success. Python Machine Learning gives you access to the world of predictive analytics and demonstrates why Python is one of the world's leading data science languages. If you want to ask better questions of data, or need to improve and extend the capabilities of your machine learning systems, this practical data science book is invaluable. Covering a wide range of powerful Python libraries, including scikit-learn, Theano, and Keras, and featuring guidance and tips on everything from sentiment analysis to neural networks, you'll soon be able to answer some of the most important questions facing you and your organization. Style and approach Python Machine Learning connects the fundamental theoretical principles behind machine learning to their practical application in a way that focuses you on asking and answering the right questions. It walks you through the key elements of Python and its powerful machine learning libraries, while demonstrating how to get to grips with a range of statistical models.

Artificial Intelligence and Machine Learning for Digital Pathology

Andreas Holzinger,Randy Goebel,Michael Mengel,Heimo Müller
Artificial Intelligence and Machine Learning for Digital Pathology Book PDF

Author : Andreas Holzinger,Randy Goebel,Michael Mengel,Heimo Müller
Publisher : Springer Nature
Page : 351 pages
File Size : 54,6 Mb
Release : 2020-06-24
Category : Computers
ISBN : 9783030504021

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Artificial Intelligence and Machine Learning for Digital Pathology by Andreas Holzinger,Randy Goebel,Michael Mengel,Heimo Müller Pdf

Data driven Artificial Intelligence (AI) and Machine Learning (ML) in digital pathology, radiology, and dermatology is very promising. In specific cases, for example, Deep Learning (DL), even exceeding human performance. However, in the context of medicine it is important for a human expert to verify the outcome. Consequently, there is a need for transparency and re-traceability of state-of-the-art solutions to make them usable for ethical responsible medical decision support. Moreover, big data is required for training, covering a wide spectrum of a variety of human diseases in different organ systems. These data sets must meet top-quality and regulatory criteria and must be well annotated for ML at patient-, sample-, and image-level. Here biobanks play a central and future role in providing large collections of high-quality, well-annotated samples and data. The main challenges are finding biobanks containing ‘‘fit-for-purpose’’ samples, providing quality related meta-data, gaining access to standardized medical data and annotations, and mass scanning of whole slides including efficient data management solutions.

Understanding Machine Learning

Shai Shalev-Shwartz,Shai Ben-David
Understanding Machine Learning Book PDF

Author : Shai Shalev-Shwartz,Shai Ben-David
Publisher : Cambridge University Press
Page : 415 pages
File Size : 53,5 Mb
Release : 2014-05-19
Category : Computers
ISBN : 9781107057135

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Understanding Machine Learning by Shai Shalev-Shwartz,Shai Ben-David Pdf

Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.