New MIT algorithm rubs shoulders with human intuition in big data analysis

The Data Science Machine takes humans out of the equation. (REUTERS/Kacper Pempel)We all know that computers are pretty good at crunching numbers. But when it comes to analyzing reams of data and looking for important patterns, humans still come in handy: We’re pretty good at figuring out what variables in the data can help us answer particular questions. Now researchers at MIT claim to have designed an algorithm that can beat most humans at that task. [AI can now muddle its way through the math SAT about as well as you can] Max Kanter, who created the algorithm as part of his master’s thesis at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), entered the algorithm into three major big data competitions. In a paper to be presented this week at IEEE International…


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