Silicon Valley For Foreigners

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Seeing Silicon Valley

Author	: Mary Beth Meehan
Publisher	: University of Chicago Press
Total Pages	: 113
Release	: 2021-05-12
ISBN-10	: 9780226786483
ISBN-13	: 022678648X
Rating	: 4/5 (48X Downloads)

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Book Synopsis Seeing Silicon Valley by : Mary Beth Meehan

Download or read book Seeing Silicon Valley written by Mary Beth Meehan and published by University of Chicago Press. This book was released on 2021-05-12 with total page 113 pages. Available in PDF, EPUB and Kindle. Book excerpt: Also published in French as Visages de la Silicon Valley.

Seeing Silicon Valley Related Books

Language: en
Pages: 113

Seeing Silicon Valley

Authors: Mary Beth Meehan

Categories: Computers

Type: BOOK - Published: 2021-05-12 - Publisher: University of Chicago Press

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Also published in French as Visages de la Silicon Valley.

Language: en
Pages: 229

Abolish Silicon Valley

Authors: Wendy Liu

Categories: Technology & Engineering

Type: BOOK - Published: 2020-04-14 - Publisher: Watkins Media Limited

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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 pote

Language: en
Pages: 100

Silicon Valley for Foreigners

Authors: Reinaldo Normand

Categories:

Type: BOOK - Published: 2017-06-03 - Publisher:

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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 S

Language: en
Pages: 264

Janitors, Street Vendors, and Activists

Authors: Christian Zlolniski

Categories: Business & Economics

Type: BOOK - Published: 2006-02-07 - Publisher: Univ of California Press

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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 Mexic

Language: en
Pages: 439

Statistical Regression and Classification

Authors: Norman Matloff

Categories: Business & Economics

Type: BOOK - Published: 2017-09-19 - Publisher: CRC Press

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Statistical Regression and Classification: From Linear Models to Machine Learning takes an innovative look at the traditional statistical regression course, pre