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In most cases, machine learning involves working with large volumes of data in order to perform optimally. However, in some cases, there is only a limited amount of training data available, resulting ...
The main objective of this paper is to highlight the research directions and explain the main roles of current Artificial Intelligence (AI)/Machine Learning (ML) frameworks and available cloud ...
AI’s performance advantages are tightly linked to methodological rigor and technological integration. Data preprocessing ...
As someone who has spent the better part of two decades optimizing distributed systems—from early MapReduce clusters to modern microservices architectures—I’ve watched the AI boom with growing concern ...
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