Conditional Probability

Random Picks

• Boosting Algorithms: Boosting Algorithms are a set of machine learning algorithms that combine weak learners to form a strong learner. The idea behind boosting is to iteratively train a sequence of weak models on different subsets of the data, and then combine ... Read More >>
• Hamming Codes: Hamming codes are a family of linear error-correcting codes used for the detection and correction of errors in data transmission. They are named after their inventor, Richard Hamming. Hamming codes add extra parity bits to the data being tr ... Read More >>
• T-value: T-value is a statistical measure that represents the difference between the mean values of two groups, divided by the standard error of the difference between the means. In data science, T-value is commonly used in hypothesis testing to det ... Read More >>