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 Information Security For The Little Guy
Being secure in an insecure world is a tough nut to crack. There are so
many ways that our personal information can be stolen and duplicated
today it is a very serious situation and should be taken very seriously.
From our surfing the Internet to just the simplicity of speaking on a
cell phone to our friends can... |  |  An Introduction to Linear Programming and Game Theory
Praise for the Second Edition:
"This is quite a well-done book: very tightly organized, better-than-average exposition, and numerous examples, illustrations, and applications."
—Mathematical Reviews of the American Mathematical Society
An Introduction to Linear Programming and... |  |  How PowerPoint Makes You Stupid: The Faulty Causality, Sloppy Logic, Decontextualized Data, and Seductive Showmanship That Have Taken Over Our Thinking
With over 500 million users worldwide, Microsoft’s PowerPoint software has become the ubiquitous tool for nearly all forms of public presentation?in schools, government agencies, the military, and, of course, offices everywhere. In this revealing and powerfully argued book, author Franck Frommer shows us that PowerPoint’s ... |
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 |  |  Digital Privacy: PRIME - Privacy and Identity Management for Europe
Information technologies are becoming pervasive and powerful to the point
that the privacy of citizens is now at risk. Indeed, more and more of our daily
transactions are conducted electronically and require us to transmit personal
information. Examples include using an electronic identity card to prove one’s
age in a... |  |  |
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 Cybercrime: Criminal Threats from Cyberspace (Crime, Media, and Popular Culture)
This book is an outstanding contribution to the interdisciplinary series on Crime, Media, and Popular Culture from Praeger Publishers. Because of the pervasiveness of media in our lives and the salience of crime and criminal justice issues, we feel it is especially important to provide a home for scholars who are engaged in innovative and... |  |  |  |  Bayesian Reasoning and Machine Learning
We live in a world that is rich in data, ever increasing in scale. This data comes from many dierent
sources in science (bioinformatics, astronomy, physics, environmental monitoring) and commerce (customer
databases, nancial transactions, engine monitoring, speech recognition, surveillance, search). Possessing
the knowledge as to... |
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