Sentence examples for crowds of data from inspiring English sources
Big data analysis tools could help pick them out of the crowds of data, said Ms Song.
The competition was hosted by Kaggle, a Web site that runs predictive-modeling contests for client organizations — thus giving them the benefit of a global crowd of data scientists working on their behalf.
Talking to a crowd of data mongers at the Entertainment Finance Forum, in a talk specifically about monetizing the data MoviePass collects, he claims to simply have gotten ahead of himself and talked about plans as if they were reality.
One goal of this paper is to examine the intrinsic geometry of the brain and to see if "crowding" of data points in the lower-dimensional embedding is an issue that requires more advanced dimensionality-reduction techniques.
If the attacker does eventually guess correctly, the real data should be lost amongst the crowd of spoof data.
Police later charged James Fields, 20, of Ohio, /www.huffingtonpost.com/entry/during-racist-charlottesville-rally-car-plows-into-crowd-of-people_us_598f422fe4b09071f69a019e"}}" data-beacon-parsed= true">with second-degree murder.
The huge volume of data crowd-sourced is enabling improvements to the broader food environment by holding industry and government to account for their performance.
There has also been a move toward crowd-sourcing certain aspects of data journalism: in 2009, the Guardian launched an app allowing readers to download documents relating to the MP expenses scandal and were encouraged to search for the most interesting claims.
Equally, crowd wisdom allows the aggregation of data in the form of problem solutions and sharing exercise workings between "crowds" of students.
That is, the company analyzes subscriber usage patterns and combines those patterns with hundreds of millions of crowd-sourced data points to determine which carriers are best for each user based on where and how the phone is used.
That is, the company analyzes subscriber usage patterns and combines those patterns with hundreds of millions of crowd-sourced data points to determine which carriers are best for each user based on where and how the phone is used.
