Unit 1: Basic Concepts of Probability
Unit 2: Event Relationships and Axioms
Intro to Probability
A comprehensive introduction to probability theory, covering fundamental concepts, distributions, and applications for data-driven decision-making.
Unit 1: Fundamental Counting Principle
Unit 2: Permutations
Unit 3: Combinations
Unit 4: Basic Probability Rules
Unit 1: Understanding Conditional Probability
Unit 2: Bayes' Theorem
Unit 3: Advanced Applications of Bayes' Theorem
Unit 1: Introduction to Discrete Random Variables
Unit 2: Bernoulli and Binomial Distributions
Unit 3: Poisson and Geometric Distributions
Unit 1: Introduction to Continuous Random Variables
Unit 2: Uniform Distribution
Unit 3: Exponential Distribution
Unit 4: Normal Distribution
Unit 1: Probability in Machine Learning
Unit 2: Probability in AI and Expert Systems
Unit 3: Probability in Risk Management