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• Model Tuning: Model tuning is the process of adjusting the hyperparameters of a machine learning model to optimize its performance on a given task. Hyperparameters are parameters that are not learned from data, but rather set by the user before training ... Read More >>
• Machine Translation: Machine Translation (MT) is the use of computer algorithms to automatically translate text from one language to another. MT systems can be rule-based, statistical, or neural. Rule-based systems rely on a set of predefined linguistic rules a ... Read More >>
• Productivity: Productivity is the measure of the efficiency of a person, team, or organization in converting inputs into useful outputs. In the context of data science, productivity refers to the ability of data scientists to efficiently and effectively ... Read More >>