🎯 What is conditional probability, really?
📊 Understand it (finally) with interactive animations
Learning probability can be confusing… until you see this resource:
With simple, animated visual examples, this tutorial answers questions like:
- What does P(A|B) mean?
- Why is it different from P(B|A)?
- What do the colored circles have to do with medical tests, diagnostics, and decision-making under uncertainty?
- And why does our intuition often fail when estimating probabilities?
💡 Ideal for:
- Statistics or data science students.
- Data professionals who want to reinforce fundamental concepts.
🔍 An educational gem: explains Bayes, independence, and evidence with moving images, without heavy equations or unnecessary jargon.
📦 A solid grasp of conditional probability is key for:
- Bayesian models
- Machine learning
- Statistical inference
- Evidence-based decision making
Also published on LinkedIn.
