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Seeing Silicon Valley

Seeing Silicon Valley PDF Author: Mary Beth Meehan
Publisher: University of Chicago Press
ISBN: 022678648X
Category : Computers
Languages : en
Pages : 113

Book Description
Also published in French as Visages de la Silicon Valley.

Seeing Silicon Valley

Seeing Silicon Valley PDF Author: Mary Beth Meehan
Publisher: University of Chicago Press
ISBN: 022678648X
Category : Computers
Languages : en
Pages : 113

Book Description
Also published in French as Visages de la Silicon Valley.

Abolish Silicon Valley

Abolish Silicon Valley PDF Author: Wendy Liu
Publisher: Watkins Media Limited
ISBN: 1912248719
Category : Technology & Engineering
Languages : en
Pages : 229

Book Description
Former insider turned critic Wendy Liu busts the myths of the tech industry, and offers a galvanising argument for why and how we must reclaim technology's potential for the public good. Former insider turned critic Wendy Liu busts the myths of the tech industry, and offers a galvanising argument for why and how we must reclaim technology's potential for the public good. "Lucid, probing and urgent. Wendy Liu manages to be both optimistic about the emancipatory potential of tech and scathing about the industry that has harnessed it for bleak and self-serving ends." -- Naomi Klein, author of On Fire: The Burning Case for a Green New Deal "An inspiring memoir manifesto...Technologists all over the world are realizing that no amount of code can substitute for political engagement. Liu's memoir is a road map for that journey of realization." -- Cory Doctorow, author of Radicalized and Little Brother Innovation. Meritocracy. The possibility of overnight success. What's not to love about Silicon Valley? These days, it's hard to be unambiguously optimistic about the growth-at-all-costs ethos of the tech industry. Public opinion is souring in the wake of revelations about Cambridge Analytica, Theranos, and the workplace conditions of Amazon workers or Uber drivers. It's becoming clear that the tech industry's promised "innovation" is neither sustainable nor always desirable. Abolish Silicon Valley is both a heartfelt personal story about the wasteful inequality of Silicon Valley, and a rallying call to engage in the radical politics needed to upend the status quo. Going beyond the idiosyncrasies of the individual founders and companies that characterise the industry today, Wendy Liu delves into the structural factors of the economy that gave rise to Silicon Valley as we know it. Ultimately, she proposes a more radical way of developing technology, where innovation is conducted for the benefit of society at large, and not just to enrich a select few.

Silicon Valley for Foreigners

Silicon Valley for Foreigners PDF Author: Reinaldo Normand
Publisher:
ISBN: 9781521284100
Category :
Languages : en
Pages : 100

Book Description
Written by a San Francisco based, foreign born entrepreneur, this book offers a unique perspective to decode the business etiquette and cultural traits of the Silicon Valley ecosystem. Recommended for entrepreneurs, executives, students and investors living outside the San Francisco Bay Area and interested in startups and innovation.

The Code

The Code PDF Author: Margaret O'Mara
Publisher: Penguin
ISBN: 0399562206
Category : Technology & Engineering
Languages : en
Pages : 514

Book Description
One of New York Magazine's best books on Silicon Valley! The true, behind-the-scenes history of the people who built Silicon Valley and shaped Big Tech in America Long before Margaret O'Mara became one of our most consequential historians of the American-led digital revolution, she worked in the White House of Bill Clinton and Al Gore in the earliest days of the commercial Internet. There she saw firsthand how deeply intertwined Silicon Valley was with the federal government--and always had been--and how shallow the common understanding of the secrets of the Valley's success actually was. Now, after almost five years of pioneering research, O'Mara has produced the definitive history of Silicon Valley for our time, the story of mavericks and visionaries, but also of powerful institutions creating the framework for innovation, from the Pentagon to Stanford University. It is also a story of a community that started off remarkably homogeneous and tight-knit and stayed that way, and whose belief in its own mythology has deepened into a collective hubris that has led to astonishing triumphs as well as devastating second-order effects. Deploying a wonderfully rich and diverse cast of protagonists, from the justly famous to the unjustly obscure, across four generations of explosive growth in the Valley, from the forties to the present, O'Mara has wrestled one of the most fateful developments in modern American history into magnificent narrative form. She is on the ground with all of the key tech companies, chronicling the evolution in their offerings through each successive era, and she has a profound fingertip feel for the politics of the sector and its relation to the larger cultural narrative about tech as it has evolved over the years. Perhaps most impressive, O'Mara has penetrated the inner kingdom of tech venture capital firms, the insular and still remarkably old-boy world that became the cockpit of American capitalism and the crucible for bringing technological innovation to market, or not. The transformation of big tech into the engine room of the American economy and the nexus of so many of our hopes and dreams--and, increasingly, our nightmares--can be understood, in Margaret O'Mara's masterful hands, as the story of one California valley. As her majestic history makes clear, its fate is the fate of us all.

Statistical Regression and Classification

Statistical Regression and Classification PDF Author: Norman Matloff
Publisher: CRC Press
ISBN: 1351645897
Category : Business & Economics
Languages : en
Pages : 439

Book Description
Statistical Regression and Classification: From Linear Models to Machine Learning takes an innovative look at the traditional statistical regression course, presenting a contemporary treatment in line with today's applications and users. The text takes a modern look at regression: * A thorough treatment of classical linear and generalized linear models, supplemented with introductory material on machine learning methods. * Since classification is the focus of many contemporary applications, the book covers this topic in detail, especially the multiclass case. * In view of the voluminous nature of many modern datasets, there is a chapter on Big Data. * Has special Mathematical and Computational Complements sections at ends of chapters, and exercises are partitioned into Data, Math and Complements problems. * Instructors can tailor coverage for specific audiences such as majors in Statistics, Computer Science, or Economics. * More than 75 examples using real data. The book treats classical regression methods in an innovative, contemporary manner. Though some statistical learning methods are introduced, the primary methodology used is linear and generalized linear parametric models, covering both the Description and Prediction goals of regression methods. The author is just as interested in Description applications of regression, such as measuring the gender wage gap in Silicon Valley, as in forecasting tomorrow's demand for bike rentals. An entire chapter is devoted to measuring such effects, including discussion of Simpson's Paradox, multiple inference, and causation issues. Similarly, there is an entire chapter of parametric model fit, making use of both residual analysis and assessment via nonparametric analysis. Norman Matloff is a professor of computer science at the University of California, Davis, and was a founder of the Statistics Department at that institution. His current research focus is on recommender systems, and applications of regression methods to small area estimation and bias reduction in observational studies. He is on the editorial boards of the Journal of Statistical Computation and the R Journal. An award-winning teacher, he is the author of The Art of R Programming and Parallel Computation in Data Science: With Examples in R, C++ and CUDA.

The Silicon Valley of Dreams

The Silicon Valley of Dreams PDF Author: David Pellow
Publisher: NYU Press
ISBN: 0814767109
Category : Business & Economics
Languages : en
Pages : 315

Book Description
Examines environmental inequality and racism in our globalized culture as evidenced by the social demographics of Silicon Valley.

Local and Global Networks of Immigrant Professionals in Silicon Valley

Local and Global Networks of Immigrant Professionals in Silicon Valley PDF Author: AnnaLee Saxenian
Publisher: Public Policy Instit. of CA
ISBN: 1582130485
Category : Americans
Languages : en
Pages : 106

Book Description


Janitors, Street Vendors, and Activists

Janitors, Street Vendors, and Activists PDF Author: Christian Zlolniski
Publisher: Univ of California Press
ISBN: 0520246438
Category : Business & Economics
Languages : en
Pages : 264

Book Description
This book exposes the underbelly of California's Silicon Valley, the most successful high-technology region in the world, in a vivid ethnographic study of Mexican immigrants employed in Silicon Valley's low-wage jobs. The author demonstrates how global forces have incorporated these workers as an integral part of the economy through subcontracting and other flexible labor practices and explores how these labor practices have in turn affected working conditions and workers' daily lives. These immigrants do not emerge merely as victims of a harsh economy; despite the obstacles they face, they are transforming labor and community politics, infusing new blood into labor unions, and challenging exclusionary notions of civic and political membership.

Silicon Valley, Women, and the California Dream

Silicon Valley, Women, and the California Dream PDF Author: Glenna Matthews
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 340

Book Description
What accounts for the growing income inequalities in Silicon Valley, despite huge technological and economic strides? Why have the once-powerful labor unions declined in their influence? This book examines these questions from a fresh perspective: that provided by the history of women in Silicon Valley in the twentieth century.

Voices from the Valley

Voices from the Valley PDF Author: Ben Tarnoff
Publisher: FSG Originals
ISBN: 0374721262
Category : Social Science
Languages : en
Pages : 103

Book Description
From FSGO x Logic: anonymous interviews with tech workers at all levels, providing a bird's-eye view of the industry In Voices from the Valley, the celebrated writers and Logic cofounders Moira Weigel and Ben Tarnoff take an unprecedented dive into the tech industry, conducting unfiltered, in-depth, anonymous interviews with tech workers at all levels, including a data scientist, a start-up founder, a cook who serves their lunch, and a PR wizard. In the process, Weigel and Tarnoff open the conversation about the tech industry at large, a conversation that has previously been dominated by the voices of CEOs. Deeply illuminating, revealing, and at times lurid, Voices from the Valley is a vital and comprehensive view of an industry that governs our lives. FSG Originals × Logic dissects the way technology functions in everyday lives. The titans of Silicon Valley, for all their utopian imaginings, never really had our best interests at heart: recent threats to democracy, truth, privacy, and safety, as a result of tech’s reckless pursuit of progress, have shown as much. We present an alternate story, one that delights in capturing technology in all its contradictions and innovation, across borders and socioeconomic divisions, from history through the future, beyond platitudes and PR hype, and past doom and gloom. Our collaboration features four brief but provocative forays into the tech industry’s many worlds, and aspires to incite fresh conversations about technology focused on nuanced and accessible explorations of the emerging tools that reorganize and redefine life today.