Continuous Testing

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• Latent Factors: Latent factors are underlying, unobserved variables that explain the relationships between observed variables in a dataset. In data science and machine learning, latent factor analysis is a technique used to identify these underlying factor ... Read More >>
• Bayesian Optimization: Bayesian Optimization is a probabilistic approach to global optimization of black-box functions that are expensive to evaluate. It uses a probabilistic surrogate model to approximate the objective function and an acquisition function to dec ... Read More >>
• Cash Equivalents: Cash equivalents are highly liquid investments that can be easily converted into cash. In the context of data science, cash equivalents can refer to the value of assets that can be quickly and easily converted into cash, such as short-term ... Read More >>