A quick round-up of some recent good books, generously posted to the internets by their authors:
Noam Nisan, Tim Roughgarden, Eva Tardos, and Vijay V. Vazirani's Algorithmic Game Theory is a good introduction to algorithmic game theory, which explores the impact of computational cost on game-theoretic results. (At least that's how my game-theory-biased brain perceives AGT.)
Trevor Hastie, Robert Tibshirani, and Jerome Friedman's Elements of Statistical Learning, Second Edition. I haven't read this edition yet, but I have the first edition (on dead tree) and it is a very good book. This second edition will probably be even better.
David Easley and Jon Kleinberg's Networks, Crowds, and Markets summarize some important results of economics, graph theory, and computer science as they relate to, unsurprisingly, networks, crowds, and markets.
Christopher D. Manning, Prabhakar Raghavan and Hinrich Schütze's Introduction to Information Retrieval is a book on information retrieval. I've only read it lightly, but it appears to both illustrate the issues of large scale data retrieval and the current best practices clearly and with good detail.
Yes, these are work-related books, which sort of goes against my desire to keep work out of this personal blog. But sometimes one does these things even as one knows they go against one's blog's mission.