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The Influencing Machine
"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.
The Influencing Machine
London in the 1790s, Europe is in turmoil and war with France is looming. James Matthews, an Welsh tea merchant and anti war advocate who holds covert meeting with both the English and the French leaders. But Matthews believes that his mind is being controlled by revolutionary terrorists and a secret machine called the Air Loom. He is promptly declared mad and send to Bedlam. Here his delusions are celebrated as the most complex and bizarre ever recorded and strangely many of the incredible events he claims to have been involved in are entirely true.
Illustrations of Madness (Psychology Revivals)
John Haslam’s Illustrations of Madness, written in 1810, occupies a special place in psychiatric history, it was the first book-length account of one single psychiatric case written by a British psychiatrist. John Haslam, apothecary to London’s Bethlem Hospital, and a leading psychiatrist of the early-nineteenth century, details the case of James Tilly Matthews, who had been a patient in the hospital for some ten years. Matthews claimed he was sane, as did his friends and certain doctors. Haslam, on behalf of the Bethlem authorities, contended he was insane, and attempted to demonstrate this by presenting a detailed account of Matthew’s own delusional system, as far as possible in Matt...
Interpretable Machine Learning
This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.
Things We Do Together
Things We Do Together. The Post-Reader is a collection of essays and honest conversations with practitioners. It is based on experiences and observations of long-term processes taking place at the intersection of art, education, and activism. Collaboration is more than simply a mechanism for the collective management of resources. It can be a way of disrupting existing systems both in the art world and in everyday life, where capitalism and extreme individualism lead to the collapse of communities and the deepening of social inequalities. Artists, activists, researchers, and educators initiate social situations all over the world; in places where institutions fail them, they establish their ...
Modernism and the Machinery of Madness
This book shows that a distinct form of technological madness emerged within modernist culture, transforming much of the period's experimental fiction.
Understanding Machine Learning
Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.
A short guide to post-editing
Artificial intelligence is changing and will continue to change the world we live in. These changes are also influencing the translation market. Machine translation (MT) systems automatically transfer one language to another within seconds. However, MT systems are very often still not capable of producing perfect translations. To achieve high quality translations, the MT output first has to be corrected by a professional translator. This procedure is called post-editing (PE). PE has become an established task on the professional translation market. The aim of this text book is to provide basic knowledge about the most relevant topics in professional PE. The text book comprises ten chapters on both theoretical and practical aspects including topics like MT approaches and development, guidelines, integration into CAT tools, risks in PE, data security, practical decisions in the PE process, competences for PE, and new job profiles.
Media Archaeology
This book introduces an archaeological approach to the study of media - one that sifts through the evidence to learn how media were written about, used, designed, preserved, and sometimes discarded. Edited by Erkki Huhtamo and Jussi Parikka, with contributions from internationally prominent scholars from Europe, North America, and Japan, the essays help us understand how the media that predate today’s interactive, digital forms were in their time contested, adopted and embedded in the everyday. Providing a broad overview of the many historical and theoretical facets of Media Archaeology as an emerging field, the book encourages discussion by presenting a full range of different voices. By revisiting ‘old’ or even ‘dead’ media, it provides a richer horizon for understanding ‘new’ media in their complex and often contradictory roles in contemporary society and culture.
The Hype Machine
A landmark insider’s tour of how social media affects our decision-making and shapes our world in ways both useful and dangerous, with critical insights into the social media trends of the 2020 election and beyond “The book might be described as prophetic. . . . At least two of Aral’s three predictions have come to fruition.”—New York NAMED ONE OF THE BEST BOOKS OF THE YEAR BY WIRED • LONGLISTED FOR THE PORCHLIGHT BUSINESS BOOK AWARD Social media connected the world—and gave rise to fake news and increasing polarization. It is paramount, MIT professor Sinan Aral says, that we recognize the outsize effect social media has on us—on our politics, our economy, and even our person...
