machine learning


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machine learning

[mə′shēn ‚lərn·iŋ]
(computer science)
The process or technique by which a device modifies its own behavior as the result of its past experience and performance.

machine learning

The ability of a machine to improve its performance based on previous results.

Neural networks are one kind of machine learning.

machine learning

Artificial intelligence (AI) software that modifies its own algorithms in order to become more intelligent and improve future results. Machine learning is used in numerous disciplines, including medical diagnosis, ad serving, spam filtering, sales forecasting and computer vision. Unlike the static logic (if this - do that) in regular programs, machine learning continues to refine its logic so that the next operation is more effective than the last. Today's virtual assistants are often a combination of machine learning, which relies on neural networks, and "handcrafting," which provides predefined frameworks for responses. See neural network and deep learning.
References in periodicals archive ?
He agrees that at the moment there is a lot of hype surrounding terms such as AI and machine learning.
We have enjoyed building a dynamic partnership with Boeing since 2013, and this annual event with experts presenting the latest research in machine learning and data analytics builds on that," Dr Elmagarmid said, adding, "We are grateful to Boeing for their continued support of world-class computing in Qatar.
In another presentation he gave at the France Is AI technology conference, Desegur said artificial intelligence and especially machine learning are only as good as the quality of data provided.
The incorporation of machine learning into automated, targeted personalized creative content, as well as its generation, represents the next frontier to be transformed by machine learning technology.
There needs to be an accepted majority vote outcome that can serve as the basis and foundation for building a machine learning model.
Gill's second recommendation for anyone who wants to outlast the data science revolution in their field, or people who want to work in machine learning specifically, is to learn how to code.
Other global companies using Cloudera include, JP Morgan Chase using its COIN Machine Learning Programme based on Cloudera technology to eliminate 360,000 lawyer hours a year.
For the insurance sector, we see machine learning as a fundamental game-changer since most insurance companies today focus on three main objectives: improving compliance, improving cost structures and improving competitiveness.
We are using computer vision, robotics, and machine learning to help smart machines detect, identify, and make management decisions about every single plant in the field.
And machine learning would play a significant role.
In relation to cybersecurity, machine learning has been changing the game as a means of managing the massive amounts of data within corporate environments.
Featurespace(TM) is an Adaptive Behavioral Analytics and creator of the ARIC(TM) platform, a real-time machine learning software system developed out of the University of Cambridge.

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