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"It is a wonder that we have yet to officially write about probability theory on this blog. Probability theory underlies a huge portion of artificial intelligence, machine learning, and statistics, and a number of our future posts will rely on the ideas and terminology we lay out in this post. Our first formal theory of machine learning will be deeply ingrained in probability theory, we will derive and analyze probabilistic learning algorithms, and our entire treatment of mathematical finance will be framed in terms of random variables."

Note-I am going to try this for our blog. If you've ever wondered how some website that looks like it was an early draft from the proverbial infinite number of monkeys on infinite keyboards managed to get to the top of a search result page instead of something you actually want to read (or something you've written), you've been victimized by the dark art of search engine optimization (SEO). In the never-ending battle for the top of the Google search results page, and for advertising click-throughs, marketers and bloggers enlist an ever-changing bag of tricks to game search engine algorithms, often with the help of SEO consultants and a collection of tools that track the best tactics of the moment.

It's not just about Big Data. For the big players in enterprise technology algorithms, it's about finding big patterns beyond the data itself. The explosion of online life and cheap computer hardware have made it possible to store immense amounts of unstructured information, like e-mails or Internet clickstreams, then search the stored information to find some trend that can be exploited. The real trick is to do this cost-effectively. Companies doing this at a large scale look for similarities between one field and another, hoping for a common means of analysis.

Ever since his grad student days at Hebrew University of Jerusalem, Amir Ronen, now a scientist at IBM Research -  Haifa, has been thinking about the intersection of game theory and computer science. In fact, he's one of the leaders in a sub-discipline, called algorithmic game theory, which lies at the intersection of the two fields.

Professor Lee Cronin is a likably impatient presence, a one-man catalyst. "I just want to get stuff done fast," he says. And: "I am a control freak in rehab." Cronin, 39, is the leader of a world-class team of 45 researchers at Glasgow University, primarily making complex molecules. But that is not the extent of his ambition. A couple of years ago, at a TED conference, he described one goal as the creation of "inorganic life", and went on to detail his efforts to generate "evolutionary algorithms" in inert matter. He still hopes to "create life" in the next year or two.

Eureqa (pronounced "eureka") is a software tool for detecting equations and hidden mathematical relationships in your data. Its goal is to identify the simplest mathematical formulas which could describe the underlying mechanisms that produced the data. Eureqa is free to download and use. Below you will find the program download, video tutorial, user forum, and other and reference materials.