Machine Learning: The Future is Now for Analysts
Seven steps to launching your predictive analytics rocketship.
We’re all searching for those “aha!” moments. Maybe it comes when you’re trying on that perfect outfit from an online personal shopping service, or driving this morning’s GPS-optimized route through rush-hour traffic. Something comes together, a bunch of dots get connected, and, like magic, it all works out! You find the perfect match or, as if by instinct, navigate around traffic on a route you’ve never driven before.
The common thread between those two different moments? You’re using machine learning. Like an invisible web, these human-written algorithms impact the world around you in both obvious and obscure ways. As a data analyst, you might want to add the magic of machine learning to your analytic arsenal. You, too, could be answering new, interesting, and future-facing questions.
Machine learning is the iterative process a computer follows when it is asked by a human to identify patterns in a dataset given specific constraints.
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