Книга: The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World
Chapter Ten
Chapter Ten
“Love, actuarially,” by Kevin Poulsen (Wired, 2014), tells the story of how one man used machine learning to find love on the OkCupid dating site. Dataclysm, by Christian Rudder (Crown, 2014), mines OkCupid’s data for sundry insights. Total Recall, by Gordon Moore and Jim Gemmell (Dutton, 2009), explores the implications of digitally recording everything we do. The Naked Future, by Patrick Tucker (Current, 2014), surveys the use and abuse of data for prediction in our world. Craig Mundie argues for a balanced approach to data collection and use in “Privacy pragmatism” (Foreign Affairs, 2014). The Second Machine Age, by Erik Brynjolfsson and Andrew McAfee (Norton, 2014), discusses how progress in AI will shape the future of work and the economy. “World War R,” by Chris Baraniuk (New Scientist, 2014) reports on the debate surrounding the use of robots in battle. “Transcending complacency on superintelligent machines,” by Stephen Hawking et al. (Huffington Post, 2014), argues that now is the time to worry about AI’s risks. Nick Bostrom’s Superintelligence (Oxford University Press, 2014) considers those dangers and what to do about them.
A Brief History of Life, by Richard Hawking (Random Penguin, 1982), summarizes the quantum leaps of evolution in the eons BC. (Before Computers. Just kidding.) The Singularity Is Near, by Ray Kurzweil (Penguin, 2005), is your guide to the transhuman future. Joel Garreau considers three different scenarios for how human-directed evolution will unfold in Radical Evolution (Broadway Books, 2005). In What Technology Wants (Penguin, 2010), Kevin Kelly argues that technology is the continuation of evolution by other means. Darwin Among the Machines, by George Dyson (Basic Books, 1997), chronicles the evolution of technology and speculates on where it will lead. Craig Venter explains how his team synthesized a living cell in Life at the Speed of Light (Viking, 2013).
- CHAPTER TEN: This Is the World on Machine Learning
- CHAPTER 23 Creating Intent Filters
- CHAPTER 28 Building a Content Provider
- CHAPTER 27 Using a Content Provider
- QLineEdit
- How to read
- Appendix D. TCP options
- Appendix E. Other resources and links
- What's next?
- SCTP Common and generic headers
- The final stage of our NAT machine
- iptables-restore