Google researchers Alon Halevy, Peter Norvig, and Fernando Pereira have an article in IEEE Computer magazine entitled “The Unreasonable Effectiveness of Data“. The article continues a theme that has been running strong within Google circles for the past half decade about how training a simple algorithm with larger amounts of data is more effective than having a smart algorithm that tries to generalize or draw inferences from smaller amounts of data:
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