- 01. Bayes Rule
- 02. Cancer Test
- 03. Prior And Posterior
- 04. Normalizing 1
- 05. Normalizing 2
- 06. Normalizing 3
- 07. Total Probability
- 08. Bayes Rule Diagram
- 09. Equivalent Diagram
- 10. Cancer Probabilities
- 11. Probability Given Test
- 12. Normalizer
- 13. Normalizing Probability
- 14. Disease Test 1
- 15. Disease Test 2
- 16. Disease Test 3
- 17. Disease Test 4
- 18. Disease Test 5
- 19. Disease Test 6
- 20. Bayes Rule Summary
- 21. Robot Sensing 1
- 22. Robot Sensing 2
- 23. Robot Sensing 3
- 24. Robot Sensing 4
- 25. Robot Sensing 5
- 26. Robot Sensing 6
- 27. Robot Sensing 7
- 28. Robot Sensing 8
- 29. Generalizing
- 30. Sebastian At Home
- 31. Learning Objectives - Conditional Probability
- 32. Reducing Uncertainty
- 33. Bayes' Rule and Robotics
- 34. Learning from Sensor Data
- 35. Using Sensor Data
- 36. Learning Objectives - Bayes' Rule
- 37. Bayes Rule Conclusion