by Angela Guess
Rick Delgado recently wrote in Dataconomy, “Most experts agree that while big data uses some of the most advanced technology available to businesses, doing so without someone to guide it — the human element, so to speak — would be a mistake. Human thought processes have become a vital ingredient to achieving success with big data analytics since data science has its own limitations. That conventional way of thinking, however, may soon be thrown out the window. In much the same way that crunching large sets of data has been given over to big data algorithms, other parts of data analytics may soon get rid of the human element. This new development may get traction thanks to some impressive work from MIT researchers.”
Delgado goes on, “The data scientists have constructed what they refer to as the Data Science Machine, and it removes the need for human intuition in one aspect of the analytics process. For years when it comes to big data analytics, data experts were needed specifically to identify features with data sets that could reveal the patterns used for predictive analysis. In other words, while big data algorithms were good at finding patterns within the data that could often be missed, data experts were needed to narrow the list of patterns to look for. This was an important job in part because algorithms still needed direction by way of a specified feature set that was established by a human hand.”
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