Abstract:
Data science can be messy, with data scientists often starting with poor-quality or inconsistent data that must be cleaned up before it can be utilized to an organization...Show MoreMetadata
Abstract:
Data science can be messy, with data scientists often starting with poor-quality or inconsistent data that must be cleaned up before it can be utilized to an organization's best advantage. Here, the author discusses artificial intelligence-in particular machine learning-technologies and how they can help or hinder organizations in curating the vast amounts of data such organizations have access to.
Published in: IT Professional ( Volume: 19, Issue: 4, 2017)