MODULE 3

Probability , Linear Algebra Random process Statistics

Basics of Probability, Probability theory and its appli – cations in AI. Descriptive and inferential statistics, Permutations , Combinations, Conditional probability , Random variables, distributions, Statistics , Estimation, independent events, Bayes' rule, probability density function, mean, median, mode, Standard deviation, correlation, correlation coefficient, Bias, Variance Testing of hypothesis, confidence interval, Chi-squared test, t- test.