Review of Probability Theory Knowledge Involved in Machine Learning (1)

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1. Conditional probability 2. Independence 3. Total probability formula 4. Bayesian formula 5. Bernoulli model 6. Distribution of random variables 7. Distribution function

1. Conditional probability

2. Independence

3. Full probability formula

4. Bayesian formula

5. Bernoulli Model

6. Distribution of random variables

discrete:

continuous:

The relationship between the two:

7. Distribution function

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