Machine learning tools pose educational challenges

IT and analytics managers struggling with all the data flooding into their organizations may find it hard to ignore the increased marketing push machine learning tools are getting from technology vendors. And for good reason: Running automated algorithms designed to learn on their own as they churn through large data sets can accelerate data mining and predictive analytics applications — and give users information they might not get otherwise. But companies looking to take advantage of machine learning often face a substantial learning curve.For starters, a lot of big data infrastructure technologies — Hadoop, the Spark processing engine and related open source software in particular — typically underlie machine learning efforts. In many cases, that means building a suitable data processing and management architecture from scratch. In addition, analytics teams…


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