How to use machine learning in today's enterprise environment

How to use machine learning in today’s enterprise environment

How to use machine learning in today’s enterprise environment

One of the latest trends in the world of technology and engineering is “machine learning” — in fact, all of the big technology companies today have invested in artificial intelligence and machine learning projects.

The term “machine learning” was first defined by Arthur Samuel, way back in 1959. He defined it as “the ability to learn without being explicitly programmed,” which basically means that a machine could learn from its own mistakes and reprogram itself to improve its performance over time.

The idea gained popularity in the 90s when the concept of data mining came into existence. Data mining uses algorithms to look for patterns in a given set of information, which led to data-driven predictions and decision making. This encouraged engineers to develop complex machine learning algorithms by making use of data mining and predictive analytics.

Today, machine learning algorithms are already being used widely in various ways. Here are some, everyday uses of machine learning that you probably didn’t know.

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Machine learning is all the rage with Big Data developers

The technology is advancing at a rapid pace as we continue to find new ways of using machine learning. Enterprises too, are keen to get a hold of machine learning for the betterment of future products and accomplishment of strategic goals.


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