### The 9 concepts and formulas in probability that every data scientist should know

What is probability?
1. A probability is always between 0 and 1
2. Compute a probability
3. Complement of an event
4. Union of two events
5. Intersection of two events
6. Independence of two events
7. Conditional probability
Bayes’ theorem
Example
8. Accuracy measures
False negatives
False positives
Sensitivity
Specificity
Positive predictive value
Negative predictive value
9. Counting techniques
Multiplication
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