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Author: Michael Bhaskar
Publisher: Anthem Press
ISBN: 0857281216
Category : Computers
Languages : en
Pages : 226
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Book Description
This ground-breaking study, the first of its kind, outlines a theory of publishing that allows publishing houses to focus on their core competencies in times of crisis. Tracing the history of publishing from the press works of fifteenth-century Germany to twenty-first-century Silicon Valley, via Venice, Beijing, Paris and London, and fusing media theory and business experience, ‘The Content Machine’ offers a new understanding of content, publishing and technology, and defiantly answers those who contend that publishing has no future in a digital age.
Author: Michael Bhaskar
Publisher: Anthem Press
ISBN: 0857281216
Category : Computers
Languages : en
Pages : 226
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Book Description
This ground-breaking study, the first of its kind, outlines a theory of publishing that allows publishing houses to focus on their core competencies in times of crisis. Tracing the history of publishing from the press works of fifteenth-century Germany to twenty-first-century Silicon Valley, via Venice, Beijing, Paris and London, and fusing media theory and business experience, ‘The Content Machine’ offers a new understanding of content, publishing and technology, and defiantly answers those who contend that publishing has no future in a digital age.
Author: Dan Norris
Publisher:
ISBN: 9780995404427
Category : Internet marketing
Languages : en
Pages : 224
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Book Description
Content Machine outlines a strategy for using content marketing to build a 7-figure business with zero advertising. Whether you are a blogger, content marketer, entrepreneur or marketing manager, Content Machine will help you see the return you deserve from your content marketing efforts.
Author: Michael Bhaskar
Publisher: Anthem Press
ISBN: 0857281224
Category : Language Arts & Disciplines
Languages : en
Pages : 226
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Book Description
This ground-breaking study, the first of its kind, outlines a theory of publishing that allows publishing houses to focus on their core competencies in times of crisis. Tracing the history of publishing from the press works of fifteenth-century Germany to twenty-first-century Silicon Valley, via Venice, Beijing, Paris and London, and fusing media theory and business experience, ‘The Content Machine’ offers a new understanding of content, publishing and technology, and defiantly answers those who contend that publishing has no future in a digital age.
Author: Brooke Gladstone
Publisher: W. W. Norton & Company
ISBN: 0393083543
Category : Social Science
Languages : en
Pages : 192
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Book Description
"Mind-opening, thought-provoking and incredibly timely… An absolutely spectacular read."—Cory Doctorow, BoingBoing A million listeners trust NPR's Brooke Gladstone to guide them through the complexities of the modern media. Bursting onto the page in vivid comics by acclaimed artist Josh Neufeld, this brilliant radio personality guides us through two millennia of media history, debunking the notion that "The Media" is an external force beyond our control and equipping us to be savvy consumers and shapers of the news. Owing to the graphic format, this book is readable only on larger screens and devices.
Author: Sebastian Raschka
Publisher: Packt Publishing Ltd
ISBN: 1801816387
Category : Computers
Languages : en
Pages : 775
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Book Description
This book of the bestselling and widely acclaimed Python Machine Learning series is a comprehensive guide to machine and deep learning using PyTorch s simple to code framework. Purchase of the print or Kindle book includes a free eBook in PDF format. Key Features Learn applied machine learning with a solid foundation in theory Clear, intuitive explanations take you deep into the theory and practice of Python machine learning Fully updated and expanded to cover PyTorch, transformers, XGBoost, graph neural networks, and best practices Book DescriptionMachine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch. It acts as both a step-by-step tutorial and a reference you'll keep coming back to as you build your machine learning systems. Packed with clear explanations, visualizations, and examples, the book covers all the essential machine learning techniques in depth. While some books teach you only to follow instructions, with this machine learning book, we teach the principles allowing you to build models and applications for yourself. Why PyTorch? PyTorch is the Pythonic way to learn machine learning, making it easier to learn and simpler to code with. This book explains the essential parts of PyTorch and how to create models using popular libraries, such as PyTorch Lightning and PyTorch Geometric. You will also learn about generative adversarial networks (GANs) for generating new data and training intelligent agents with reinforcement learning. Finally, this new edition is expanded to cover the latest trends in deep learning, including graph neural networks and large-scale transformers used for natural language processing (NLP). This PyTorch book is your companion to machine learning with Python, whether you're a Python developer new to machine learning or want to deepen your knowledge of the latest developments.What you will learn Explore frameworks, models, and techniques for machines to learn from data Use scikit-learn for machine learning and PyTorch for deep learning Train machine learning classifiers on images, text, and more Build and train neural networks, transformers, and boosting algorithms Discover best practices for evaluating and tuning models Predict continuous target outcomes using regression analysis Dig deeper into textual and social media data using sentiment analysis Who this book is for If you have a good grasp of Python basics and want to start learning about machine learning and deep learning, then this is the book for you. This is an essential resource written for developers and data scientists who want to create practical machine learning and deep learning applications using scikit-learn and PyTorch. Before you get started with this book, you’ll need a good understanding of calculus, as well as linear algebra.
Author: Luis Serrano
Publisher: Simon and Schuster
ISBN: 1617295914
Category : Computers
Languages : en
Pages : 510
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Book Description
Grokking Machine Learning presents machine learning algorithms and techniques in a way that anyone can understand. This book skips the confused academic jargon and offers clear explanations that require only basic algebra. As you go, you'll build interesting projects with Python, including models for spam detection and image recognition. You'll also pick up practical skills for cleaning and preparing data.
Author: James L. Halperin
Publisher: Ballantine Books
ISBN: 0345439805
Category : Fiction
Languages : en
Pages : 492
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Book Description
Prepare to have your conception of truth rocked to its very foundation. It is the year 2004. Violent crime is the number one political issue in America. Now, the Swift and Sure Anti-Crime Bill guarantees a previously convicted violent criminal one fair trial, one quick appeal, then immediate execution. To prevent abuse of the law, a machine must be built that detects lies with 100 percent accuracy. Once perfected, the Truth Machine will change the face of the world. Yet the race to finish the Truth Machine forces one man to commit a shocking act of treachery, burdening him with a dark secret that collides with everything he believes in. Now he must conceal the truth from his own creation . . . or face his execution. By turns optimistic and chilling--and always profound--The Truth Machine is nothing less than a history of the future, a spellbinding chronicle that resonates with insight, wisdom . . . and astounding possibility. "PROFOUND." --Associated Press
Author: Arthur I. Miller
Publisher: MIT Press
ISBN: 0262539624
Category : Computers
Languages : en
Pages : 429
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Book Description
An authority on creativity introduces us to AI-powered computers that are creating art, literature, and music that may well surpass the creations of humans. Today's computers are composing music that sounds “more Bach than Bach,” turning photographs into paintings in the style of Van Gogh's Starry Night, and even writing screenplays. But are computers truly creative—or are they merely tools to be used by musicians, artists, and writers? In this book, Arthur I. Miller takes us on a tour of creativity in the age of machines. Miller, an authority on creativity, identifies the key factors essential to the creative process, from “the need for introspection” to “the ability to discover the key problem.” He talks to people on the cutting edge of artificial intelligence, encountering computers that mimic the brain and machines that have defeated champions in chess, Jeopardy!, and Go. In the central part of the book, Miller explores the riches of computer-created art, introducing us to artists and computer scientists who have, among much else, unleashed an artificial neural network to create a nightmarish, multi-eyed dog-cat; taught AI to imagine; developed a robot that paints; created algorithms for poetry; and produced the world's first computer-composed musical, Beyond the Fence, staged by Android Lloyd Webber and friends. But, Miller writes, in order to be truly creative, machines will need to step into the world. He probes the nature of consciousness and speaks to researchers trying to develop emotions and consciousness in computers. Miller argues that computers can already be as creative as humans—and someday will surpass us. But this is not a dystopian account; Miller celebrates the creative possibilities of artificial intelligence in art, music, and literature.
Author: Richard Seymour
Publisher: Verso Books
ISBN: 1788739310
Category : Political Science
Languages : en
Pages : 256
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Book Description
A brilliant probe into the political and psychological effects of our changing relationship with social media Former social media executives tell us that the system is an addiction-machine. We are users, waiting for our next hit as we like, comment and share. We write to the machine as individuals, but it responds by aggregating our fantasies, desires and frailties into data, and returning them to us as a commodity experience. The Twittering Machine is an unflinching view into the calamities of digital life: the circus of online trolling, flourishing alt-right subcultures, pervasive corporate surveillance, and the virtual data mines of Facebook and Google where we spend considerable portions of our free time. In this polemical tour de force, Richard Seymour shows how the digital world is changing the ways we speak, write, and think. Through journalism, psychoanalytic reflection and insights from users, developers, security experts and others, Seymour probes the human side of the machine, asking what we’re getting out of it, and what we’re getting into. Social media held out the promise that we could make our own history–to what extent did we choose the nightmare that it has become?
Author: Meghan O'Gieblyn
Publisher: Anchor
ISBN: 0525562710
Category : Biography & Autobiography
Languages : en
Pages : 305
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Book Description
A strikingly original exploration of what it might mean to be authentically human in the age of artificial intelligence, from the author of the critically-acclaimed Interior States. • "At times personal, at times philosophical, with a bracing mixture of openness and skepticism, it speaks thoughtfully and articulately to the most crucial issues awaiting our future." —Phillip Lopate “[A] truly fantastic book.”—Ezra Klein For most of human history the world was a magical and enchanted place ruled by forces beyond our understanding. The rise of science and Descartes's division of mind from world made materialism our ruling paradigm, in the process asking whether our own consciousness—i.e., souls—might be illusions. Now the inexorable rise of technology, with artificial intelligences that surpass our comprehension and control, and the spread of digital metaphors for self-understanding, the core questions of existence—identity, knowledge, the very nature and purpose of life itself—urgently require rethinking. Meghan O'Gieblyn tackles this challenge with philosophical rigor, intellectual reach, essayistic verve, refreshing originality, and an ironic sense of contradiction. She draws deeply and sometimes humorously from her own personal experience as a formerly religious believer still haunted by questions of faith, and she serves as the best possible guide to navigating the territory we are all entering.
