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• Checksums: Checksums are a type of algorithm that is used to verify the integrity of data. In data science and artificial intelligence, checksums are used to ensure that data has not been corrupted or altered during transmission or storage. Checksums ... Read More >>
• Boosting: Boosting is a machine learning ensemble meta-algorithm that combines weak learners to form a strong learner. In boosting, each weak learner is trained on a subset of the data, and the algorithm assigns higher weights to the misclassified sa ... Read More >>
• Density Estimation: Density Estimation is a process of estimating the probability density function of a random variable from a set of data. It is a fundamental concept in statistics and machine learning that involves modeling the underlying distribution of a d ... Read More >>