Correlations are very different from what is required to create a reliable model that correctly forecasts a future election or investing outcomes. Rather than mine data, why not engage in hypothesis testing.
Companies today are much better equipped to remotely monitor assets and put in place a more intelligent system that senses the state of various components and predicts the type of maintenance required.
When you start connecting all business entities such as customers, products, accounts, and locations in many-to-many relationships, you start getting newer insights into your customers needs and preferences.
Given a system that heavily utilizes machine learning, what are the things that make its performance go up: the domain experts or the lack of these? For me it is clearly the former and here I will defend why.
There seems to be no end in sight when it comes to high demand for data professionals. But just how well an individual can cash in on that trend depends on their job experience, location, and acquired skills. This week we look at how all those factors impact the paycheck. Today we review the pay premiums being paid in 2016 for the top noncertified data skills.