A deep learning model is a mathematical abstraction of data, in which a lot of parameters are involved. Training these parameters can take hours, days, and even weeks but afterward, you can make use of the result to apply on new data. This is called inference in machine learning. It is important to know how […]
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Imbalanced datasets are a common challenge in machine learning.
Organizations are increasingly integrating generative AI capabilities into their applications to enhance customer experiences, streamline…