What is machine learning? We talk about it all the time. Those in the information management business know what it is and understand it, right? Right? This interesting topic came to us from The Enterpriser’s Project in their article, “How to explain machine learning in plain English.”
Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence (AI) and the most common one at that. It is based on the idea that systems can learn from data, identify patterns, and make decisions with minimal human intervention.
Even for those not so technically inclined, there are good big-picture definitions of machine learning that don’t require much technical expertise to grasp.
Plus, the machine learning of today is different from that in the past because of new computing technologies. The iterative aspect of machine learning is important because as models are exposed to new data, they are able to independently adapt. They learn from previous computations to produce reliable, repeatable decisions and results. It’s a science that’s not new – but one that has gained fresh momentum.
Melody K. Smith
Sponsored by Data Harmony, a unit of Access Innovations, the world leader in indexing and making content findable.
