Sentence examples for machine learning used from inspiring English sources
Software techniques like pattern recognition and machine learning used in Internet searches, online advertising and smartphone apps are also ingredients in making smart devices to manage energy consumption, health care and traffic.
Machine learning used by predictive analytics is a technique to train algorithm which can predict an output based on some input value.
This study presents a review of human Cardiotocography trace interpretation and argues that machine learning, used as a decision support system by obstetricians and midwives, may provide an objective measure alongside normal practices.
The machine learning used reduces the footage to a selection of frames containing faults, which can be quickly identified (whether by an engineer or another piece of software), showing promise for use in industrial wastewater network surveys.
Simple settings, like the choice of molecular descriptors (MD), the type of molecular structure standardization and the machine learning used can be easily defined by editing a single file (Additional file 1: Annexes I and II for an step-by-step example).
The unique combination of methods from graph theory, information theory, and machine learning used for this study enabled the identification of statistically significant differences between the NIPs of species, as well as the quantification of the relation between these differences and the species lineage or lifestyle.
Machine learning uses specialised mathematics, or algorithms, to sift and simplify the myriads of numbers.
AlphaGo, the board-game-playing AI from Google's DeepMind subsidiary, is one of the most famous examples of deep learning – machine learning using neural networks – to date.
Blinkx's speech-recognition technology employs neural networks and machine learning using "hidden Markov models," a method of statistical analysis in which the hidden characteristics of a thing are guessed from what is known.
The process of machine learning uses the data to detect patterns and adjust programme actions accordingly.
Many studies have described building frameworks for practical machine learning using Mahout.
