The Copyright Book

Author: William S. Strong
Publisher: MIT Press
ISBN: 0262027399
Format: PDF, ePub
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An accessible and comprehensive guide to copyright law, updated to include new developments in infringement, fair use, and the impact of digital technology.

Visual Insights

Author: Katy Börner
Publisher: MIT Press
ISBN: 0262526190
Format: PDF, Docs
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"In 2010, Bèorner published Atlas of Science: Visualizing what We Know with us, and the work found an audience across a wide range of readers. Although Katy is busy working on the second Atlas volume, she has taken her info viz talents to the street via an Indiana University MOOC. This course applies advanced data mining and visualization techniques to communicate temporal, geospatial, topical, and network data of IVMOOC13 teaching and learning, provides instructions on how to collaborate with external clients and presents the best 2013 project results, closes with an outlook on MOOC trends and opportunities. This book is for this course. The work is the core of her information visualization course and is intended to serve as a stand-alone resource and how-to guide for those seeking to learn the tricks of information visualization. Part "how-to" book and part primer in data and information across the disciplines, Bèorner's work provides the perfect text for beginner mastery of the topic"--

The Book Publishing Industry

Author: Albert N. Greco
Publisher: Routledge
ISBN: 113685035X
Format: PDF, Docs
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The Book Publishing Industry focuses on consumer books (adult, juvenile, and mass market paperbacks) and reviews all major book categories to present a comprehensive overview of this diverse business. In addition to the insights and portrayals of the U.S. publishing industry, this book includes an appendix containing historical data on the industry from 1946 to the end of the twentieth century. The selective bibliography includes the latest literature, including works in marketing and economics that has a direct relationship with this dynamic industry. This third edition features a chapter on e-books and provides an overview of the current shift toward digital media in the US book publishing industry.

Copyright Law for Librarians and Educators

Author: Kenneth D. Crews
Publisher: American Library Association
ISBN: 9780838909065
Format: PDF, Docs
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Presents copyright definitions and their exceptions for library and education services, and examines fair use and current interpretations of the Digital Millennium Copyright Act.

A Reference Guide for English Studies

Author: Michael J. Marcuse
Publisher: Univ of California Press
ISBN: 9780520079922
Format: PDF, ePub, Mobi
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This text is an introduction to the full range of standard reference tools in all branches of English studies. More than 10,000 titles are included. The Reference Guide covers all the areas traditionally defined as English studies and all the field of inquiry more recently associated with English studies. British and Irish, American and world literatures written in English are included. Other fields covered are folklore, film, literary theory, general and comparative literature, language and linguistics, rhetoric and composition, bibliography and textual criticism and women's studies.

Innovation and Incentives

Author: Suzanne Scotchmer
Publisher: MIT Press
ISBN: 9780262195157
Format: PDF
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The economics of intellectual property and R&D incentives explained in a balanced, accessible mixture of institutional details and theory.

Deep Learning

Author: Ian Goodfellow
Publisher: MIT Press
ISBN: 0262337371
Format: PDF, ePub, Docs
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"Written by three experts in the field, Deep Learning is the only comprehensive book on the subject." -- Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.