Sentence examples for learn data from inspiring English sources

Weekend scientists can also learn data collection techniques and water sampling procedures.

Geographers get to learn data analysis, and to read Robert Macfarlane.

Deep learning is to apply computational models to learn data representations with multiple levels of abstraction [1].

Deep Learning algorithms which usually learn data representations in a greedy fashion, look more useful to learn from Big Data [24, 25].

In other words, the model is required to learn data representations that produce good reconstructions of the input in addition to providing good predictions of document class labels.

Deep Learning algorithms are quite beneficial when dealing with learning from large amounts of unsupervised data, and typically learn data representations in a greedy layer-wise fashion [7],[8].

The goal of learning to hash is to learn data-dependent and task-specific hash functions that yield compact binary codes to achieve good search accuracy, where sophisticated machine learning tools and algorithms have been adapted to the procedure of hash function design [54, 55].

What is exciting now is that with large-scale learning platforms, such as the Open University's FutureLearn, learning data does not have to remain merely local.

The Knight Center for Journalism in the Americas has started its first MOOC - Massive Open Online Course - with more than 2,000 people from 109 countries learning data visualisation.

(Some theorists attribute this to a form of heavy interference among learned data that has only momentary influence on retention).

The difference in Learning Data is more complex.