Sentence examples for machine learning uses from inspiring English sources

In contrast to classical statistical modeling with test of significance, machine learning uses a hypothesis-free approach that allows us to model complex interactions driven by the data [100].

Machine learning uses specialised mathematics, or algorithms, to sift and simplify the myriads of numbers.

The process of machine learning uses the data to detect patterns and adjust programme actions accordingly.

At its core, machine learning uses algorithms to parse data, extract patterns, learn and make predictions and decisions based on the gleaned insights.

A prediction method based on machine learning uses real pre-miRNAs and pseudo pre-miRNAs as positive samples and negative samples, respectively.

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.

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.

Many studies have described building frameworks for practical machine learning using Mahout.

A very popular module is scikit-learn [36], a Python module for machine learning using NumPy arrays.

Garcia-Masso et al. [96] recently developed and tested classification algorithms based on machine learning using accelerometers to identify specific activities performed by persons who use wheelchairs.