Saint Mary's College, Notre Dame Last updated Save as PDF Page ID3384 DSCI 500B Essential Probability Theory for Data Science (Kuter)Front Matter1: What is Probability?2: Conditional Probability3: Discrete Random Variables4: Continuous Random Variables5: Multivariate Random Variables6: The Sample Mean and Central Limit Theorem7: The Sample Variance and Other DistributionsBack MatterMATH 345 - Probability (Kuter)1: What is Probability?2: Computing Probabilities3: Discrete Random Variables4: Continuous Random Variables5: Probability Distributions for Combinations of Random VariablesFront MatterBack Matter
