A machine learning algorithm is a set of mathematical rules and procedures that allows an AI system to perform specific tasks, such as predicting output or making decisions, by learning from data.
MLOps is the set of practices and methods designed to efficiently manage the lifecycle of machine learning models in a production environment.
Automated Machine Learning (AutoML) is an innovation that has reshaped the landscape of machine learning, democratizing its potential by automating the intricate, labor-intensive, and expertise-requiring processes involved.
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