Download cloud computing the mit press essential knowledge series in pdf or read cloud computing the mit press essential knowledge series in pdf online books in PDF, EPUB and Mobi Format. Click Download or Read Online button to get cloud computing the mit press essential knowledge series in pdf book now. This site is like a library, Use search box in the widget to get ebook that you want.



Cloud Computing

Author: Nayan B. Ruparelia
Publisher: MIT Press
ISBN: 0262529092
Size: 64.74 MB
Format: PDF
View: 1893
Download and Read
"This book provides a lucid overview of the implications of the cloud phenomenon and the opportunities and risks associated with it"--

The Internet Of Things

Author: Samuel Greengard
Publisher: MIT Press
ISBN: 0262527731
Size: 69.76 MB
Format: PDF, Docs
View: 4806
Download and Read
A guided tour through the Internet of Things, a networked world of connected devices, objects, and people that is changing the way we live and work.

Metadata

Author: Jeffrey Pomerantz
Publisher: MIT Press
ISBN: 0262528517
Size: 30.91 MB
Format: PDF
View: 5905
Download and Read
Everything we need to know about metadata, the usually invisible infrastructure for information with which we interact every day.

Crowdsourcing

Author: Daren C. Brabham
Publisher: MIT Press
ISBN: 0262314258
Size: 59.68 MB
Format: PDF, ePub, Docs
View: 6772
Download and Read
Ever since the term "crowdsourcing" was coined in 2006 by Wired writer Jeff Howe, group activities ranging from the creation of the Oxford English Dictionary to the choosing of new colors for M&Ms have been labeled with this most buzz-generating of media buzzwords. In this accessible but authoritative account, grounded in the empirical literature, Daren Brabham explains what crowdsourcing is, what it is not, and how it works. Crowdsourcing, Brabham tells us, is an online, distributed problem solving and production model that leverages the collective intelligence of online communities for specific purposes set forth by a crowdsourcing organization -- corporate, government, or volunteer. Uniquely, it combines a bottom-up, open, creative process with top-down organizational goals. Crowdsourcing is not open source production, which lacks the top-down component; it is not a market research survey that offers participants a short list of choices; and it is qualitatively different from predigital open innovation and collaborative production processes, which lacked the speed, reach, rich capability, and lowered barriers to entry enabled by the Internet. Brabham describes the intellectual roots of the idea of crowdsourcing in such concepts as collective intelligence, the wisdom of crowds, and distributed computing. He surveys the major issues in crowdsourcing, including crowd motivation, the misconception of the amateur participant, crowdfunding, and the danger of "crowdsploitation" of volunteer labor, citing real-world examples from Threadless, InnoCentive, and other organizations. And he considers the future of crowdsourcing in both theory and practice, describing its possible roles in journalism, governance, national security, and science and health.

Machine Learning

Author: Ethem Alpaydin
Publisher: MIT Press
ISBN: 0262529513
Size: 35.95 MB
Format: PDF, ePub, Docs
View: 3040
Download and Read
A concise overview of machine learning -- computer programs that learn from data -- which underlies applications that include recommendation systems, face recognition, and driverless cars.

The Self Tracking

Author: Gina Neff
Publisher: MIT Press
ISBN: 0262529122
Size: 74.33 MB
Format: PDF, ePub, Docs
View: 5101
Download and Read
What happens when people turn their everyday experience into data: an introduction to the essential ideas and key challenges of self-tracking.

Cloud Computing For Science And Engineering

Author: Ian Foster
Publisher: MIT Press
ISBN: 0262037246
Size: 15.90 MB
Format: PDF, ePub
View: 5122
Download and Read
The emergence of powerful, always-on cloud utilities has transformed how consumers interact with information technology, enabling video streaming, intelligent personal assistants, and the sharing of content. Businesses, too, have benefited from the cloud, outsourcing much of their information technology to cloud services. Science, however, has not fully exploited the advantages of the cloud. Could scientific discovery be accelerated if mundane chores were automated and outsourced to the cloud? Leading computer scientists Ian Foster and Dennis Gannon argue that it can, and in this book offer a guide to cloud computing for students, scientists, and engineers, with advice and many hands-on examples. The book surveys the technology that underpins the cloud, new approaches to technical problems enabled by the cloud, and the concepts required to integrate cloud services into scientific work. It covers managing data in the cloud, and how to program these services; computing in the cloud, from deploying single virtual machines or containers to supporting basic interactive science experiments to gathering clusters of machines to do data analytics; using the cloud as a platform for automating analysis procedures, machine learning, and analyzing streaming data; building your own cloud with open source software; and cloud security. The book is accompanied by a website, Cloud4SciEng.org, that provides a variety of supplementary material, including exercises, lecture slides, and other resources helpful to readers and instructors.

Information And Society

Author: Michael Buckland
Publisher: MIT Press
ISBN: 0262533383
Size: 76.77 MB
Format: PDF, ePub, Docs
View: 3057
Download and Read
A short, informal account of our ever-increasing dependence on a complex multiplicity of messages, records, documents, and data.

The Technological Singularity

Author: Murray Shanahan
Publisher: MIT Press
ISBN: 0262527804
Size: 59.15 MB
Format: PDF, Kindle
View: 1145
Download and Read
The idea of technological singularity, and what it would mean if ordinary human intelligence were enhanced or overtaken by artificial intelligence.