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Author: Amaranth Borsuk
Publisher: MIT Press
ISBN: 0262535416
Category : Literary Criticism
Languages : en
Pages : 346
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Book Description
The book as object, as content, as idea, as interface. What is the book in a digital age? Is it a physical object containing pages encased in covers? Is it a portable device that gives us access to entire libraries? The codex, the book as bound paper sheets, emerged around 150 CE. It was preceded by clay tablets and papyrus scrolls. Are those books? In this volume in the MIT Press Essential Knowledge series, Amaranth Borsuk considers the history of the book, the future of the book, and the idea of the book. Tracing the interrelationship of form and content in the book's development, she bridges book history, book arts, and electronic literature to expand our definition of an object we thought we knew intimately. Contrary to the many reports of its death (which has been blamed at various times on newspapers, television, and e-readers), the book is alive. Despite nostalgic paeans to the codex and its printed pages, Borsuk reminds us, the term “book” commonly refers to both medium and content. And the medium has proved to be malleable. Rather than pinning our notion of the book to a single form, Borsuk argues, we should remember its long history of transformation. Considering the book as object, content, idea, and interface, she shows that the physical form of the book has always been the site of experimentation and play. Rather than creating a false dichotomy between print and digital media, we should appreciate their continuities.
Author: Amaranth Borsuk
Publisher: MIT Press
ISBN: 0262535416
Category : Literary Criticism
Languages : en
Pages : 346
Get Book Here
Book Description
The book as object, as content, as idea, as interface. What is the book in a digital age? Is it a physical object containing pages encased in covers? Is it a portable device that gives us access to entire libraries? The codex, the book as bound paper sheets, emerged around 150 CE. It was preceded by clay tablets and papyrus scrolls. Are those books? In this volume in the MIT Press Essential Knowledge series, Amaranth Borsuk considers the history of the book, the future of the book, and the idea of the book. Tracing the interrelationship of form and content in the book's development, she bridges book history, book arts, and electronic literature to expand our definition of an object we thought we knew intimately. Contrary to the many reports of its death (which has been blamed at various times on newspapers, television, and e-readers), the book is alive. Despite nostalgic paeans to the codex and its printed pages, Borsuk reminds us, the term “book” commonly refers to both medium and content. And the medium has proved to be malleable. Rather than pinning our notion of the book to a single form, Borsuk argues, we should remember its long history of transformation. Considering the book as object, content, idea, and interface, she shows that the physical form of the book has always been the site of experimentation and play. Rather than creating a false dichotomy between print and digital media, we should appreciate their continuities.
Author:
Publisher: Eden House Publishing
ISBN: 0978740300
Category :
Languages : en
Pages : 530
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Book Description
Author: Arthur Mee
Publisher:
ISBN:
Category : Encyclopedias and dictionaries
Languages : en
Pages : 360
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Book Description
Author:
Publisher: National Geographic Books
ISBN: 9781426201240
Category : History
Languages : en
Pages : 520
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Book Description
A comprehensive, visual reference, enhanced by two thousand photographs and illustrations, provides information on all major fields of knowledge and includes timelines, sidebars, cross-reference, and other useful features.
Author: Jonathan Haber
Publisher: MIT Press
ISBN: 0262538288
Category : Education
Languages : en
Pages : 234
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Book Description
An insightful guide to the practice, teaching, and history of critical thinking—from Aristotle and Plato to Thomas Dewey—for teachers, students, and anyone looking to hone their critical thinking skills. Critical thinking is regularly cited as an essential 21st century skill, the key to success in school and work. Given the propensity to believe fake news, draw incorrect conclusions, and make decisions based on emotion rather than reason, it might even be said that critical thinking is vital to the survival of a democratic society. But what, exactly, is critical thinking? Jonathan Haber explains how the concept of critical thinking emerged, how it has been defined, and how critical thinking skills can be taught and assessed. Haber describes the term's origins in such disciplines as philosophy, psychology, and science. He examines the components of critical thinking, including • structured thinking • language skills • background knowledge • information literacy • intellectual humility • empathy and open-mindedness Haber argues that the most important critical thinking issue today is that not enough people are doing enough of it. Fortunately, critical thinking can be taught, practiced, and evaluated. This book offers a guide for teachers, students, and aspiring critical thinkers everywhere, including advice for educational leaders and policy makers on how to make the teaching and learning of critical thinking an educational priority and practical reality.
Author: John D. Kelleher
Publisher: MIT Press
ISBN: 0262537559
Category : Computers
Languages : en
Pages : 298
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Book Description
An accessible introduction to the artificial intelligence technology that enables computer vision, speech recognition, machine translation, and driverless cars. Deep learning is an artificial intelligence technology that enables computer vision, speech recognition in mobile phones, machine translation, AI games, driverless cars, and other applications. When we use consumer products from Google, Microsoft, Facebook, Apple, or Baidu, we are often interacting with a deep learning system. In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution. Kelleher explains that deep learning enables data-driven decisions by identifying and extracting patterns from large datasets; its ability to learn from complex data makes deep learning ideally suited to take advantage of the rapid growth in big data and computational power. Kelleher also explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art. He describes the most important deep learning architectures, including autoencoders, recurrent neural networks, and long short-term networks, as well as such recent developments as Generative Adversarial Networks and capsule networks. He also provides a comprehensive (and comprehensible) introduction to the two fundamental algorithms in deep learning: gradient descent and backpropagation. Finally, Kelleher considers the future of deep learning—major trends, possible developments, and significant challenges.
Author: Valerie Forrestal
Publisher: Rowman & Littlefield
ISBN: 1442253045
Category : Language Arts & Disciplines
Languages : en
Pages : 129
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Book Description
Libraries are creating dynamic knowledge bases to capture both tacit and explicit knowledge and subject expertise for use within and beyond their organizations. In this book, readers will learn to move policies and procedures manuals online using a wiki, get the most out of Microsoft SharePoint with custom portals and Web Parts, and build an FAQ knowledge base from reference management applications such as LibAnswers. Knowledge Management for Libraries guides readers through the process of planning, developing, and launching their own library knowledge base. This A-Z guidebook will teach you how to implement tools that will help your colleagues communicate, collaborate, share documents and files, and greatly clarify and simplify workflows through projects such as: How to Create a Document Management System with Google Drive How to Construct a Web-Based Knowledge Base Using Wiki Software How to Set Up a Private Social Network for Your Staff with Yammer How to Create an Organizational Commons with WordPress How to Build a Library Intranet Site in Microsoft SharePoint How to Create a Dynamic FAQ with Springshare’s LibAnswers
Author: Lee McIntyre
Publisher: MIT Press
ISBN: 0262345986
Category : Philosophy
Languages : en
Pages : 242
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Book Description
How we arrived in a post-truth era, when “alternative facts” replace actual facts, and feelings have more weight than evidence. Are we living in a post-truth world, where “alternative facts” replace actual facts and feelings have more weight than evidence? How did we get here? In this volume in the MIT Press Essential Knowledge series, Lee McIntyre traces the development of the post-truth phenomenon from science denial through the rise of “fake news,” from our psychological blind spots to the public's retreat into “information silos.” What, exactly, is post-truth? Is it wishful thinking, political spin, mass delusion, bold-faced lying? McIntyre analyzes recent examples—claims about inauguration crowd size, crime statistics, and the popular vote—and finds that post-truth is an assertion of ideological supremacy by which its practitioners try to compel someone to believe something regardless of the evidence. Yet post-truth didn't begin with the 2016 election; the denial of scientific facts about smoking, evolution, vaccines, and climate change offers a road map for more widespread fact denial. Add to this the wired-in cognitive biases that make us feel that our conclusions are based on good reasoning even when they are not, the decline of traditional media and the rise of social media, and the emergence of fake news as a political tool, and we have the ideal conditions for post-truth. McIntyre also argues provocatively that the right wing borrowed from postmodernism—specifically, the idea that there is no such thing as objective truth—in its attacks on science and facts. McIntyre argues that we can fight post-truth, and that the first step in fighting post-truth is to understand it.
Author: J. M. Berger
Publisher: MIT Press
ISBN: 0262535874
Category : Political Science
Languages : en
Pages : 218
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Book Description
This compulsively readable introduction to extremism explains how these ideologies are constructed and how they escalate, offering both historical and contemporary examples In this volume in the MIT Press Essential Knowledge series, J. M. Berger offers a nuanced introduction to the extremist movements threatening to destabilize civil societies around the globe. He explains what extremism is, how extremist ideologies are constructed, and why extremism can escalate into violence. Berger shows that although the ideological content of extremist movements varies widely, there are common structural elements. Berger describes the evolution of identity movements and individual and group radicalization, offering case studies and examples such as: • The destruction of Carthage by the Romans—often called “the first genocide” • The apocalyptic jihadism of Al Qaeda • America's new “alt-right” • The anti-Semitic conspiracy tract The Protocols of the Elders of Zion Berger, an expert on extremist movements and terrorism, explains that extremism arises from a perception of “us versus them,” intensified by the conviction that the success of “us” is inseparable from hostile acts against “them.” Extremism differs from ordinary unpleasantness—run-of-the-mill hatred and racism—by its sweeping rationalization of an insistence on violence. If we understand its causes and the common elements of its movements, Berger says, we will be more effective in countering it.
Author: Ethem Alpaydin
Publisher: MIT Press
ISBN: 0262529513
Category : Computers
Languages : en
Pages : 225
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Book Description
A concise overview of machine learning—computer programs that learn from data—which underlies applications that include recommendation systems, face recognition, and driverless cars. Today, machine learning underlies a range of applications we use every day, from product recommendations to voice recognition—as well as some we don't yet use everyday, including driverless cars. It is the basis of the new approach in computing where we do not write programs but collect data; the idea is to learn the algorithms for the tasks automatically from data. As computing devices grow more ubiquitous, a larger part of our lives and work is recorded digitally, and as “Big Data” has gotten bigger, the theory of machine learning—the foundation of efforts to process that data into knowledge—has also advanced. In this book, machine learning expert Ethem Alpaydin offers a concise overview of the subject for the general reader, describing its evolution, explaining important learning algorithms, and presenting example applications. Alpaydin offers an account of how digital technology advanced from number-crunching mainframes to mobile devices, putting today's machine learning boom in context. He describes the basics of machine learning and some applications; the use of machine learning algorithms for pattern recognition; artificial neural networks inspired by the human brain; algorithms that learn associations between instances, with such applications as customer segmentation and learning recommendations; and reinforcement learning, when an autonomous agent learns act so as to maximize reward and minimize penalty. Alpaydin then considers some future directions for machine learning and the new field of “data science,” and discusses the ethical and legal implications for data privacy and security.
