A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf
.
Empirical Insights on Cloud Services for Machine Learning Applications
2020
Annals of Dunarea de Jos University. Fascicle I : Economics and Applied Informatics
As the volume of data increases, becomes more complex and valuable, people's limited capabilities present real challenges in deciphering and interpreting an increasingly unpredictable economic environment. In essence, Machine Learning is the artifact of artificial intelligence generated and shared mainly by the technological environment, where almost any information can be documented, measured and stored digitally, thus becoming data that can be processed to generate actionable information
doi:10.35219/eai15840409110
fatcat:46rcafbcjza4flq2asnhpt2kwm