PDC4S:\IT\DATA SCIENCE AND MACHINE LEARNING\[365 Data Science] Programming for Data Science\4. Probability\3. Bayesian Inference | ||
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 1. Sets and Events.mp4 | ||
| 10. Multiplication Rule.mp4 | ||
| 11. Bayes Rule.mp4 | ||
| 12. Bayesian - Practical Example.mp4 | ||
| 2. The Different Ways Events Can Interact.mp4 | ||
| 3. The Intersection of Two Sets.mp4 | ||
| 4. The Union of Two Sets.mp4 | ||
| 5. Mutually Exclusive Sets.mp4 | ||
| 6. Dependent and Independent Events.mp4 | ||
| 7. Conditional Probability.mp4 | ||
| 8. Law of Total Probability.mp4 | ||
| 9. Additive Law.mp4 | ||