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 over time and with enough samples 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 ?
NSWC Crane Division, NSWC Dahlgren Division, NUWC Keyport Division and SSC Pacific gathered for the Machine Learning Summit in Rhode Island.
No matter the industry or environment, an organization's initial foray into harnessing data science and machine learning should not involve a major project that crosses business lines.
Pathway advises organizations on how to become data-driven, provides new insights on available data, develops machine learning models and implements real-life applications.
This involved extracting only those attributes that were used by the machine learning algorithms.
* Machine Learning as a Service Market Revenue & Growth Rate by Type [, Private clouds, Public clouds, Hybrid cloud] (Historical & Forecast)
Microsofts Head of Open Source Strategy, Azure Machine Learning and Kubeflow Co-Founder, David Aronchick said, The number one challenge to harnessing the power of ML today is bringing models to production.
Machine learning has the potential to disrupt nearly every industry during the next several years, and the auditing profession is no exception (Julia Kokina and Thomas H.
Machine learning has become valuable as companies are dealing with vast and rapidly growing volumes of data and the associated challenges of finding value and drawing insights from that data.
Phase three, brings Machine Learning techniques on the data.
The seminar was co-led by Venkatasamy and was titled, "Getting Started with AI and Machine Learning to Improve Warehouse Management."
The answer lies with humanised machine learning platforms, says Mind Foundry Director of Research Nathan Korda, which are making advanced machine learning capabilities accessible to business problem owners, enabling the rise of the 'citizen data scientist'.

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