Is an MIT algorithm better than human intuition?

If big data is a haystack, then algorithms may be better than humans when it comes to finding a needle.Computer algorithms root out patterns in immense data sets, produce correlations, and ultimately come up with predictions. Selecting what an algorithm analyzes has always been done by humans.Until now. A pair of researchers at the Massachusetts Institute of Technology (MIT) – Max Kanter, a master’s student in computer science, and his advisor, Kalyan Veeramachaneni, a research scientist at MIT’s computer science and artificial intelligence laboratory – have created the Data Science Machine to find patterns and select which data points are relevant, without the problem-solving help of humans.  The Data Science Machine is capable of making predictions from raw data, without the help of humans who are typically needed to choose the appropriate…


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