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.
McGraw-Hill Dictionary of Scientific & Technical Terms, 6E, Copyright © 2003 by The McGraw-Hill Companies, Inc.

machine learning

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

Neural networks are one kind of machine learning.

This article is provided by FOLDOC - Free Online Dictionary of Computing (foldoc.org)

machine learning

A major component of artificial intelligence (AI). Machine learning software, which is mostly implemented using a "neural network" architecture, keeps modifying its own algorithms in the training stages in order to become more intelligent and improve future results. Machine learning (ML) is used to enhance pattern recognition (face, handwriting, voice, etc.) in many areas, including search engines, medical diagnosis, ad serving, spam filtering and sales forecasting. Deep learning is a more elaborate form of machine learning, which uses more layers of recognition to discern a pattern. See neural network and deep learning.

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 and "handcrafting," the latter providing predefined frameworks for responses. See AI and computer vision.


The Hierarchy
Machine learning (ML) is a subset of AI, and deep learning is a more elaborate form of ML.
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References in periodicals archive ?
Companies can build the best machine learning algorithms in the world and have them accurately predict all sorts of things important to the companies' futures--how consumers will react to new flavors, how supplier pricing will change, when a product will move from niche to mainstream.
In optical transmission, machine learning algorithms can be used to enhance transmission quality.
Regression analysis is a machine learning algorithm that can be used for process tuning and production forecasting.
The choice of algorithm to be used is also important; the nature and type of the dataset involved will have to be considered with respect to the characteristics of different machine learning algorithms as to make a choice.
Personalisations and recommendations: Machine Learning algorithms are capable of analyzing terabytes of user data, which allows us to provide everyone with personalized search results and feeds, taking into account users' interests and preferences.
But there is another book that now needs to be written: "The World Is Algorithms." Over the past five years, I have come to realize the power of machine learning algorithms. Machine learning can instantly render decisions that humans require hours or days to complete.
(4) Train and test with 10-fold cross-validation of three different machine learning algorithms to compare the overall estimation accuracy.
As demonstrated in Table 1, neither machine learning algorithm was able to classify patients with breast cancer any better than the majority predictor.
It does this by using a machine learning algorithm that is designed to detect logical fallacy, political bias, and incorrect statistics," the 21-year-old techie explains.
A machine learning algorithm has one job, on which it is entirely focused.
The feature uses a machine learning algorithm that matches dish names, provided by Google Maps users, with relevant photos and reviews.
FRIDAY, March 23, 2018 (HealthDay News) -- A smartwatch coupled with a machine learning algorithm is able to accurately detect atrial fibrillation (AF), with some loss of specificity and sensitivity compared to criterion-standard electrocardiography (ECG), according to a study published online March 21 in JAMA Cardiology.

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