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• Iterative Experimentation: Iterative Experimentation is a process of continuously testing and refining a hypothesis or model through multiple iterations. In Data Science, it involves the use of statistical methods and machine learning algorithms to analyze data and g ... Read More >>
• Code Optimization: Code optimization is the process of improving the performance of a software program by making it run faster, use fewer resources, and consume less power. It involves analyzing the code to identify inefficiencies and then modifying it to eli ... Read More >>
• Conjugate Prior: In Bayesian probability theory, a prior distribution is a probability distribution that expresses the degree of belief or uncertainty about the value of a parameter before observing the data. A conjugate prior is a prior distribution that b ... Read More >>