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In a 2012 experiment, a resume for an ideal candidate was created based on the job description for a clinical scientist position. After going through the parser, one of the candidate's work experiences was completely lost due to the date being listed before the employer. The parser also didn't catch several educational degrees.
The best way to get the job is to have a resume that includes any qualifications you can give, but also list contacts like past school organizations (ROTC, community service, etc.).
Data engineering refers to the building of systems to enable the collection and usage of data. This data is usually used to enable subsequent analysis and data science, which often involves machine learning. [1] [2] Making the data usable usually involves substantial compute and storage, as well as data processing.
Massive amounts of data from LinkedIn allow scientists and machine learning researchers to extract insights and build product features. [226] For example, this data can help to shape patterns of deception in resumes. Findings suggested that people commonly lie about their hobbies rather than their work experience on online resumes. [227]
The Hidden Genius Project empowers black male youth through technology and leadership training at their 12th annual Brothers Code event.
By Leah Douglas and Julie Steenhuysen (Reuters) -California's public health department reported a possible case of bird flu in a child with mild respiratory symptoms on Tuesday, but said there was ...
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