Sentence examples for how large data from inspiring English sources
Machine learning methods will be introduced to illustrate how large data sets can be mined for interesting information.
To give you an idea of just how large data sets can be, when Watson beat the human champion of Jeopardy, it had previously ingested the entire Wikipedia database.
The main aim of this paper is to provide a clear illustration of how large data sets from monitoring stations can give information about the number and nature of the pollutant sources, and mainly to assess the contribution of the traffic source to PM10 concentration level by using multivariate statistical techniques.
Certainly given how large data protection fines can now scale under the European Union's new privacy framework, GDPR, which also requires that most breaches be disclosed within 72 hours of discovery (rather than, ooooh, two years or so later in the Yahoo case… ).
How large a data set can it handle?
This year's conference will include presentations on how Cornell's trailblazing research has influenced start up cultures and large corporations, how big data is being applied in the precision medicine arena; how companies make decisions about fostering inclusive communities; and how privacy, ethics, and AI intersect.
Our investigation of the centralities, assortativity, and community structure shows how large-scale data built primarily for commercial purposes can yield a coherent and useful picture of the landscape of western classical music.
In the course of this module, students learn how to do a careful image analysis, how to work with a large data set, how to perform inferential statistics (an ANOVA with post hoc tests), and how to interpret experimental findings.
In addition, I provide guidance on a number of practical questions, including how large the training data needs to be relative to the sample.
Rocana aims to simplify and speed up how companies running large data center operation teams track and fix issues across their systems.
However, I was also taken aback by something else -- how large amounts of data such as this could help human beings learn more effectively.
