Effective Management Of Data Sources In Machine Learning
Machine learning and artificial intelligence have been a buzzword as tools based on these technologies, like Chat GPT, became available to the general public. In this article, I would like to have a peek into the ML backstage, especially the data it ingests– the essential fuel for any ML model no matter what it is applied to. There are two major aspects of data when it comes to selecting and processing it: quality and quantity. Also, there is a third factor affecting the practical side of ML: economic feasibility. I would like to share my personal experience of working with different…
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