Showing results for "Scientist" in Computers & Technology

Data science happens in code. The ability to write reproducible, robust, scaleable code is key to a data science project's success—and is absolutely essential for those working with production code. This practical book bridges the gap between data science and software engineering, and clearly explains how to apply the best practices from software engineering to data science.

Machines That Think explores how artificial intelligence helps us understand human intelligence, machines that compose music and write stories - and asks if AI is really a threat. Sometime in the future, the intelligence of machines will exceed that of human brain power. So are we on the edge of an AI-pocalypse, with superintelligent devices superseding humanity, as predicted by Stephen Hawking? Or will this herald a kind of utopia, with machines doing a far better job at complex tasks than us?

The End of Money is an essential introduction to cryptocurrencies and the blockchain revolution, which has been hailed as the greatest advancement since the invention of the Internet. Murder for hire. Drug trafficking. Embezzlement. Money laundering. These might sound like plot lines of a thriller, but they are true stories from the short history of cryptocurrencies - digital currencies conceived by computer hackers and cryptographers that represent a completely new sort of financial transaction.

The Python-Based Laboratory: A Hands-On Guide for Scientists and Engineers provides a learn-by-doing approach to acquiring the Python programming skills needed to implement computer-controlled experimental work.

The first-ever inside look at DARPA—the Defense Advanced Research Projects Agency—the maverick and controversial group whose futuristic work has had amazing civilian and military applications, from the Internet to GPS to driverless cars America's greatest idea factory isn't Bell Labs...