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Part 01-Module 03-Lesson 02_Get Ready/05. The Great Robot Race-UFGu15hCtKg.mp4 514.7 MB
Part 08-Module 01-Lesson 01_Computer Vision and Classification/Workshops and required files.zip 370.1 MBPart 05-Module 01-Lesson 03_Project Optimize Histogram Filter/02. Nd113 Running The Project V1--X1pB-HTdnQ.mp4 84.3 MBSelf Driving Cars.zip 82.6 MBPart 08-Module 01-Lesson 01_Computer Vision and Classification/01. Meet Danny Shapiro At Nvidia-tglLnJNHSI4.mp4 54.1 MBPart 02-Module 01-Lesson 11_Robot Localization/04. Total Probability-n1EacrqyCs8.mp4 42.4 MBPart 01-Module 03-Lesson 02_Get Ready/03. Intro to Self-Driving Cars Intro To Jupyter Notebooks-0-5VG9FsdQ0.mp4 37.4 MBPart 03-Module 01-Lesson 04_Matrices and Transformation of State/06. More Kalman Filters-hUnTg5v4tDU.mp4 37.2 MBPart 03-Module 01-Lesson 02_Introduction to Kalman Filters/19. Kalman Filter Code-X7cixvcogl8.mp4 35.4 MBPart 02-Module 01-Lesson 11_Robot Localization/02. Introduction-Uqt_pRbR8rI.mp4 33.6 MBPart 02-Module 01-Lesson 11_Robot Localization/33. 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Localization Summary-MVbo4OAgQCc.mp4 10.6 MBPart 02-Module 01-Lesson 11_Robot Localization/34. Cancer Test-SZ6Jg1wS604.mp4 10.6 MBPart 08-Module 01-Lesson 01_Computer Vision and Classification/32. Nd113 C7 29 L Features-HshygbfQylA.mp4 10.5 MBPart 02-Module 01-Lesson 06_Bayes' Rule/30. Robot Sensing 4-vasdN2Gol0M.mp4 10.4 MBPart 08-Module 01-Lesson 01_Computer Vision and Classification/50. Nd113 C7 47 L Outro-YbWjhAVvdKc.mp4 10.3 MBPart 06-Module 01-Lesson 03_The Search Problem/23. More Uniform Cost-8xH-3WtswDs.mp4 10.3 MBPart 02-Module 01-Lesson 04_Conditional Probability/08. Dependent Things-NDL-rxSYJWo.mp4 10.3 MBPart 06-Module 01-Lesson 01_How to Solve Problems/06. First Step-N8dKtrrCZ7U.mp4 10.3 MBPart 02-Module 01-Lesson 11_Robot Localization/26. Sense and Move-1s2dRczcu1A.mp4 10.2 MBPart 08-Module 01-Lesson 01_Computer Vision and Classification/15. Color Images--XbXiiGQ9gw.mp4 10.1 MBPart 02-Module 01-Lesson 11_Robot Localization/20. 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Python Control Flow [demonstration].html 7.9 kBPart 02-Module 01-Lesson 05_Programming Probability in Python/13. Simulating Probabilities [demonstration].html 7.9 kBPart 02-Module 01-Lesson 05_Programming Probability in Python/07. Lists and Loops [demonstration].html 7.9 kBPart 02-Module 01-Lesson 05_Programming Probability in Python/11. Simulating Coin Flips [playground].html 7.9 kBPart 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/01. Lesson Introduction.html 7.9 kBPart 02-Module 01-Lesson 05_Programming Probability in Python/03. Python Variables [demonstration].html 7.9 kBPart 02-Module 01-Lesson 09_Programming Probability Distributions/05. Uniform Distribution Solution.html 7.9 kBPart 02-Module 01-Lesson 05_Programming Probability in Python/12. Functions [demonstration].html 7.9 kBPart 02-Module 01-Lesson 05_Programming Probability in Python/04. Data Types [demonstration].html 7.9 kBPart 02-Module 01-Lesson 05_Programming Probability in Python/06. For Loops [demonstration].html 7.9 kBPart 05-Module 01-Lesson 02_C++ Optimization Practice/11. Exercise Intermediate Variables.html 7.9 kBPart 02-Module 01-Lesson 03_Probability/03. Learning Objectives Explained.html 7.9 kBPart 04-Module 01-Lesson 04_C++ Object Oriented Programming/20. Running your Program Locally.html 7.9 kBPart 05-Module 01-Lesson 01_C++ Intro to Optimization/06. Assembly Language.html 7.9 kBPart 05-Module 01-Lesson 02_C++ Optimization Practice/15. Exercise References.html 7.9 kBPart 05-Module 01-Lesson 02_C++ Optimization Practice/05. Exercise Remove Dead Code.html 7.9 kBPart 06-Module 01-Lesson 02_Data Structures/16. How Sets and Dictionaries Work.html 7.9 kBPart 05-Module 01-Lesson 02_C++ Optimization Practice/18. Exercise Static Keyword.html 7.9 kBPart 05-Module 01-Lesson 02_C++ Optimization Practice/13. Exercise Vector Storage.html 7.9 kBPart 05-Module 01-Lesson 02_C++ Optimization Practice/09. Exercise For Loops.html 7.9 kBPart 05-Module 01-Lesson 02_C++ Optimization Practice/07. Exercise If Statements.html 7.9 kBPart 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/10. Average vs. Instantaneous Speed.html 7.8 kBPart 04-Module 01-Lesson 04_C++ Object Oriented Programming/12. Implement a Class.html 7.8 kBPart 02-Module 01-Lesson 09_Programming Probability Distributions/19. Conclusion.html 7.8 kBPart 04-Module 01-Lesson 02_C++ Vectors/05. Vector Methods.html 7.8 kBPart 02-Module 01-Lesson 09_Programming Probability Distributions/10. Visualizing Uniform Distributions Solution.html 7.8 kBPart 01-Module 03-Lesson 01_The Carla Chronicles Back on Track/14. Thanks for Helping Carla!.html 7.8 kBPart 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/02. Plotting Robot Motion (right angles only).html 7.7 kBPart 04-Module 01-Lesson 06_Translate Python to C++/Project Rubric - Translate Python to C++.html 7.7 kBPart 04-Module 01-Lesson 03_Practical C++/05. Input and Output.html 7.7 kBPart 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/07. The Power of Trigonometry.html 7.7 kBPart 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/10. Looking up Sin, Cos, and Tan.html 7.7 kBPart 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/14. Keeping Track of x and y (solution).html 7.7 kBPart 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/03. Plotting Robot Motion Solution .html 7.7 kBPart 06-Module 01-Lesson 02_Data Structures/05. Representing a Single Ticket.html 7.7 kBPart 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/13. Keeping Track of x and y.html 7.7 kBPart 02-Module 01-Lesson 05_Programming Probability in Python/14. Exercises.html 7.7 kBPart 04-Module 01-Lesson 01_C++ Getting Started/06. Static vs Dynamic Typing.html 7.6 kBPart 04-Module 01-Lesson 04_C++ Object Oriented Programming/03. Why use Object Oriented Programming.html 7.6 kBPart 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/08. Approximating Integrals with Code.html 7.6 kBPart 02-Module 01-Lesson 05_Programming Probability in Python/10. Learning with Playgrounds.html 7.6 kBPart 04-Module 01-Lesson 01_C++ Getting Started/10. Doubles are Bigger.html 7.6 kBPart 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/04. Plotting Elevator Acceleration.html 7.6 kBPart 06-Module 01-Lesson 02_Data Structures/19. Conclusion.html 7.6 kBPart 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/09. Integrating Accelerometer Data.html 7.6 kBPart 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/11. Integrating Rate Gyro Data.html 7.6 kBPart 04-Module 01-Lesson 05_Python and C++ Speed/05. 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Knowledge.html 7.5 kBPart 02-Module 01-Lesson 10_Gaussian Distributions/08. Plotting Gaussians in Python [Solution].html 7.5 kBPart 02-Module 01-Lesson 07_Programming Bayes' Rule and World Representations/02. Programming Probabilities [exercise].html 7.4 kBPart 02-Module 01-Lesson 07_Programming Bayes' Rule and World Representations/05. Programming Bayes' Rule [exercise].html 7.4 kBPart 01-Module 03-Lesson 02_Get Ready/02. While You Wait - Learning Resources.html 7.4 kBPart 02-Module 01-Lesson 07_Programming Bayes' Rule and World Representations/04. Testing the Total.html 7.4 kBPart 02-Module 01-Lesson 07_Programming Bayes' Rule and World Representations/10. 2D Iteration [demonstration].html 7.4 kBPart 02-Module 01-Lesson 07_Programming Bayes' Rule and World Representations/07. Arrays [demonstration].html 7.4 kBPart 02-Module 01-Lesson 07_Programming Bayes' Rule and World Representations/03. 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Gaussian Intro-GHKKUR6tZE0.en.vtt 3.0 kBPart 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/11. Defining The Derivative-043a3JRE1hU.zh-CN.vtt 3.0 kBPart 08-Module 01-Lesson 01_Computer Vision and Classification/37. Nd113 C7 33 L Features And Classification-Ni3ocWoUDPk.zh-CN.vtt 3.0 kBPart 06-Module 01-Lesson 03_The Search Problem/35. A Note On Implementation-P3mkDcB-nqY.en.vtt 3.0 kBPart 02-Module 01-Lesson 06_Bayes' Rule/27. Robot Sensing 1-_DjfTytro6I.th.vtt 3.0 kBPart 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/06. 07 L The Integral Area Under A Curve H1 V2-QNvgwoIrsIE.zh-CN.vtt 3.0 kBPart 02-Module 01-Lesson 11_Robot Localization/26. Sense and Move-K8g3Hss8Q1A.ja-JP.vtt 3.0 kBPart 06-Module 01-Lesson 03_The Search Problem/18. 17 - Uniform Cost Search 5-oiJLwSnrEDA.zh-CN.vtt 3.0 kBPart 08-Module 01-Lesson 01_Computer Vision and Classification/15. Color Images--XbXiiGQ9gw.en.vtt 3.0 kBPart 06-Module 01-Lesson 01_How to Solve Problems/36. Solution Step I-bIZgt0ttMeU.pt-BR.vtt 3.0 kBPart 06-Module 01-Lesson 03_The Search Problem/04. Example Route Finding-5lrkPKQwOFE.zh-CN.vtt 2.9 kBPart 02-Module 01-Lesson 04_Conditional Probability/23. Summary-yepMH9VswI8.it.vtt 2.9 kBPart 03-Module 01-Lesson 02_Introduction to Kalman Filters/03. Gaussian Intro-GHKKUR6tZE0.ja.vtt 2.9 kBPart 02-Module 01-Lesson 06_Bayes' Rule/09. Prior And Posterior-o2Tpws5C2Eg.ja.vtt 2.9 kBPart 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/05. 06 L Reasoning About Two Peaks H1 V1-bgPS1GO1EJs.en.vtt 2.9 kBPart 04-Module 01-Lesson 01_C++ Getting Started/15. Two Functions Same Name-9SgmzOfBmRU.en.vtt 2.9 kBPart 02-Module 01-Lesson 03_Probability/06. Flipping Coins-OpNufHYgJCg.th.vtt 2.9 kBPart 02-Module 01-Lesson 04_Conditional Probability/23. Summary-yepMH9VswI8.es-ES.vtt 2.9 kBPart 02-Module 01-Lesson 04_Conditional Probability/11. Medical Example 2-FV_hc3MzS_8.en.vtt 2.9 kBPart 02-Module 01-Lesson 11_Robot Localization/27. Sense and Move 2-rmWL_3r8MKo.pt-PT.vtt 2.9 kBPart 02-Module 01-Lesson 11_Robot Localization/27. Sense and Move 2-rmWL_3r8MKo.pt.vtt 2.9 kBPart 03-Module 01-Lesson 02_Introduction to Kalman Filters/10. Shifting the Mean-8c479K2UCZo.ru.vtt 2.9 kBPart 02-Module 01-Lesson 11_Robot Localization/08. Probability After Sense-UFcTLCttNRI.ru.vtt 2.9 kBPart 02-Module 01-Lesson 11_Robot Localization/27. Sense and Move 2-rmWL_3r8MKo.es-ES.vtt 2.9 kBPart 06-Module 01-Lesson 01_How to Solve Problems/30. Step Three daysBetweenDates-DOkkOsraobw.en.vtt 2.9 kBPart 02-Module 01-Lesson 11_Robot Localization/26. Sense and Move-K8g3Hss8Q1A.it.vtt 2.9 kBPart 02-Module 01-Lesson 11_Robot Localization/26. Sense and Move-K8g3Hss8Q1A.ja.vtt 2.8 kBPart 06-Module 01-Lesson 01_How to Solve Problems/28. Step One Pseudocode-hJzpU5qC3hs.ar.vtt 2.8 kBPart 06-Module 01-Lesson 01_How to Solve Problems/09. What Are the Inputs-cAr-unfe-mg.pt-BR.vtt 2.8 kBPart 03-Module 01-Lesson 03_State and Object-Oriented Programming/09. Always Moving-EQBQlHvxAQA.zh-CN.vtt 2.8 kBPart 06-Module 01-Lesson 01_How to Solve Problems/14. The Expected Output-trokjJravhc.ar.vtt 2.8 kBPart 04-Module 01-Lesson 01_C++ Getting Started/15. Two Functions Same Name-9SgmzOfBmRU.zh-CN.vtt 2.8 kBPart 02-Module 01-Lesson 11_Robot Localization/26. Sense and Move-K8g3Hss8Q1A.pt-PT.vtt 2.8 kBPart 02-Module 01-Lesson 11_Robot Localization/26. Sense and Move-K8g3Hss8Q1A.pt.vtt 2.8 kBPart 04-Module 01-Lesson 01_C++ Getting Started/06. Static Vs Dynamic Typing-D7v6iIAORkE.en.vtt 2.8 kBPart 02-Module 01-Lesson 08_Probability Distributions/03. Intro To Probability Distribution 2-PglBg4eb_5M.en.vtt 2.8 kBPart 02-Module 01-Lesson 11_Robot Localization/35. Theorem of Total Probability-byZ-BzbQA5M.ja-JP.vtt 2.8 kBPart 02-Module 01-Lesson 11_Robot Localization/23. Limit Distribution Quiz-SXSafquSoW8.ja-JP.vtt 2.8 kBPart 02-Module 01-Lesson 04_Conditional Probability/11. Medical Example 2-FV_hc3MzS_8.ja.vtt 2.8 kBPart 02-Module 01-Lesson 03_Probability/21. One Of Three 1-bDCXSxkochE.th.vtt 2.8 kBPart 02-Module 01-Lesson 11_Robot Localization/35. Theorem of Total Probability-byZ-BzbQA5M.pt-PT.vtt 2.8 kBPart 02-Module 01-Lesson 11_Robot Localization/35. Theorem of Total Probability-byZ-BzbQA5M.it.vtt 2.8 kBPart 02-Module 01-Lesson 11_Robot Localization/35. Theorem of Total Probability-byZ-BzbQA5M.pt.vtt 2.8 kBPart 06-Module 01-Lesson 01_How to Solve Problems/18. Algorithm Pseudocode-Ei91QeYiG_E.zh-CN.vtt 2.8 kBPart 02-Module 01-Lesson 11_Robot Localization/27. Sense and Move 2-rmWL_3r8MKo.it.vtt 2.8 kBPart 02-Module 01-Lesson 11_Robot Localization/26. Sense and Move-K8g3Hss8Q1A.en.vtt 2.8 kBPart 06-Module 01-Lesson 01_How to Solve Problems/19. Should We Implement It-osHXLCQ9TKE.pt-BR.vtt 2.8 kBPart 06-Module 01-Lesson 01_How to Solve Problems/18. Algorithm Pseudocode-Ei91QeYiG_E.pt-BR.vtt 2.8 kBPart 03-Module 01-Lesson 03_State and Object-Oriented Programming/01. Localization Steps-4SiMoSTf4rQ.zh-CN.vtt 2.8 kBPart 02-Module 01-Lesson 06_Bayes' Rule/26. Bayes Rule Summary-RgXQ8GRsjfc.es-ES.vtt 2.7 kBPart 03-Module 01-Lesson 04_Matrices and Transformation of State/10. Nd113 C2 L3 08 L The Kalman Filter Equations V2-X9UUpk5URuw.en.vtt 2.7 kBPart 06-Module 01-Lesson 01_How to Solve Problems/30. Step Three daysBetweenDates-DOkkOsraobw.zh-CN.vtt 2.7 kBPart 04-Module 01-Lesson 01_C++ Getting Started/04. Why C++-_t4ZvwfnuCA.en.vtt 2.7 kBPart 02-Module 01-Lesson 11_Robot Localization/35. Theorem of Total Probability-byZ-BzbQA5M.en.vtt 2.7 kBPart 02-Module 01-Lesson 04_Conditional Probability/23. Summary-yepMH9VswI8.en.vtt 2.7 kBPart 06-Module 01-Lesson 03_The Search Problem/21. Search Comparison 2-Fh5b8xVJhR8.en.vtt 2.7 kBPart 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/06. Nd113 C6 07 L The Integral Area Under A Curve H1 V2-Nhpvh2dolcE.en.vtt 2.7 kBPart 02-Module 01-Lesson 06_Bayes' Rule/26. Bayes Rule Summary-RgXQ8GRsjfc.ja.vtt 2.7 kBPart 02-Module 01-Lesson 11_Robot Localization/27. Sense and Move 2-rmWL_3r8MKo.ja.vtt 2.7 kBPart 08-Module 01-Lesson 01_Computer Vision and Classification/18. Pre-processing--h1GS0SEyzY.en.vtt 2.7 kBPart 02-Module 01-Lesson 11_Robot Localization/35. Theorem of Total Probability-byZ-BzbQA5M.ja.vtt 2.7 kBPart 06-Module 01-Lesson 01_How to Solve Problems/23. What Should We Write First-HRepefDqkDM.es-AR.vtt 2.7 kBPart 06-Module 01-Lesson 03_The Search Problem/35. A Note On Implementation-P3mkDcB-nqY.zh-CN.vtt 2.7 kBPart 02-Module 01-Lesson 11_Robot Localization/23. Limit Distribution Quiz-SXSafquSoW8.es-ES.vtt 2.7 kBPart 04-Module 01-Lesson 01_C++ Getting Started/16. Function Signatures 1-T6kQ_4w98IQ.en.vtt 2.7 kBPart 03-Module 01-Lesson 02_Introduction to Kalman Filters/03. Gaussian Intro-GHKKUR6tZE0.zh-CN.vtt 2.7 kBPart 06-Module 01-Lesson 01_How to Solve Problems/22. Don't Optimize Prematurely-uQDk8euwyDI.ar.vtt 2.7 kBPart 02-Module 01-Lesson 11_Robot Localization/27. Sense and Move 2-rmWL_3r8MKo.en.vtt 2.6 kBPart 02-Module 01-Lesson 06_Bayes' Rule/26. Bayes Rule Summary-RgXQ8GRsjfc.en.vtt 2.6 kBPart 02-Module 01-Lesson 11_Robot Localization/23. Limit Distribution Quiz-SXSafquSoW8.pt-PT.vtt 2.6 kBPart 02-Module 01-Lesson 11_Robot Localization/23. Limit Distribution Quiz-SXSafquSoW8.pt.vtt 2.6 kBPart 02-Module 01-Lesson 03_Probability/24. Doubles-fkUyTJNbdzU.th.vtt 2.6 kBPart 02-Module 01-Lesson 11_Robot Localization/26. Sense and Move-K8g3Hss8Q1A.zh-CN.vtt 2.6 kBPart 06-Module 01-Lesson 01_How to Solve Problems/06. First Step-N8dKtrrCZ7U.ja.vtt 2.6 kBPart 03-Module 01-Lesson 04_Matrices and Transformation of State/03. Kalman Filter Land-LXJ5jrvDuEk.zh-CN.vtt 2.6 kBPart 02-Module 01-Lesson 11_Robot Localization/23. Limit Distribution Quiz-SXSafquSoW8.ja.vtt 2.6 kBPart 04-Module 01-Lesson 01_C++ Getting Started/06. Static Vs Dynamic Typing-D7v6iIAORkE.zh-CN.vtt 2.6 kBPart 02-Module 01-Lesson 11_Robot Localization/23. Limit Distribution Quiz-SXSafquSoW8.it.vtt 2.6 kBPart 03-Module 01-Lesson 03_State and Object-Oriented Programming/03. Motion Models-qSdbn_PVQnk.en.vtt 2.6 kBPart 08-Module 01-Lesson 01_Computer Vision and Classification/15. Color Images--XbXiiGQ9gw.zh-CN.vtt 2.5 kBPart 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/03. Nd113 C6 L2 03 L Acceleration Basics V2-ea6b4PZ7YXU.en.vtt 2.5 kBPart 02-Module 01-Lesson 04_Conditional Probability/18. Total Probability-YSYpzFR4k1I.ar.vtt 2.5 kBPart 02-Module 01-Lesson 04_Conditional Probability/21. Two Coins 3-JIWv5fU3GLA.ar.vtt 2.5 kBPart 06-Module 01-Lesson 03_The Search Problem/34. Problems With Search-5RmTKsNoG6M.en.vtt 2.5 kBPart 02-Module 01-Lesson 11_Robot Localization/19. Inexact Motion 1-C3f-T9_GTpw.ja.vtt 2.5 kBPart 06-Module 01-Lesson 01_How to Solve Problems/30. Step Three daysBetweenDates-DOkkOsraobw.pt-BR.vtt 2.5 kBPart 08-Module 01-Lesson 01_Computer Vision and Classification/02. Computer Vision and Sebastian-pil3PeZzCIY.en.vtt 2.5 kBPart 02-Module 01-Lesson 11_Robot Localization/23. Limit Distribution Quiz-SXSafquSoW8.en.vtt 2.5 kBPart 02-Module 01-Lesson 11_Robot Localization/35. Theorem of Total Probability-byZ-BzbQA5M.zh-CN.vtt 2.5 kBPart 06-Module 01-Lesson 01_How to Solve Problems/24. Define Simple nextDay-Qttkfhh3I5s.es-MX.vtt 2.5 kBPart 06-Module 01-Lesson 01_How to Solve Problems/37. Solution Step II-SGC8UAz12Q4.ja.vtt 2.5 kBPart 02-Module 01-Lesson 11_Robot Localization/27. Sense and Move 2-rmWL_3r8MKo.zh-CN.vtt 2.5 kBPart 04-Module 01-Lesson 01_C++ Getting Started/16. Function Signatures 1-T6kQ_4w98IQ.zh-CN.vtt 2.5 kBPart 06-Module 01-Lesson 03_The Search Problem/21. Search Comparison 2-Fh5b8xVJhR8.zh-CN.vtt 2.5 kBPart 06-Module 01-Lesson 01_How to Solve Problems/14. The Expected Output-trokjJravhc.ja.vtt 2.5 kBPart 02-Module 01-Lesson 04_Conditional Probability/23. Summary-yepMH9VswI8.pt-BR.vtt 2.5 kBPart 06-Module 01-Lesson 01_How to Solve Problems/23. What Should We Write First-HRepefDqkDM.en.vtt 2.5 kBPart 02-Module 01-Lesson 04_Conditional Probability/23. Summary-yepMH9VswI8.zh-CN.vtt 2.5 kBPart 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/05. 06 L Reasoning About Two Peaks H1 V1-bgPS1GO1EJs.zh-CN.vtt 2.5 kBPart 02-Module 01-Lesson 04_Conditional Probability/11. Medical Example 2-FV_hc3MzS_8.zh-CN.vtt 2.5 kBPart 02-Module 01-Lesson 06_Bayes' Rule/14. Bayes Rule Diagram-b8M9CWxRyQ4.ar.vtt 2.5 kBPart 03-Module 01-Lesson 02_Introduction to Kalman Filters/12. Parameter Update-d8UrbKKlGxI.es-ES.vtt 2.5 kBPart 04-Module 01-Lesson 01_C++ Getting Started/04. Why C++-_t4ZvwfnuCA.zh-CN.vtt 2.5 kBPart 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/06. Delta X Over Delta T-AsBTLDf0vQs.en.vtt 2.5 kBPart 06-Module 01-Lesson 03_The Search Problem/31. Sliding Blocks Puzzle-Dzah_49isp8.en.vtt 2.5 kBPart 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/12. Solving Trig Problems Part1-qI4i845d7Qg.en.vtt 2.4 kBPart 03-Module 01-Lesson 04_Matrices and Transformation of State/10. Nd113 C2 L3 08 L The Kalman Filter Equations V2-X9UUpk5URuw.zh-CN.vtt 2.4 kBPart 02-Module 01-Lesson 08_Probability Distributions/03. Intro To Probability Distribution 2-PglBg4eb_5M.zh-CN.vtt 2.4 kBPart 03-Module 01-Lesson 02_Introduction to Kalman Filters/12. Parameter Update-d8UrbKKlGxI.ja-JP.vtt 2.4 kBPart 02-Module 01-Lesson 04_Conditional Probability/23. Summary-yepMH9VswI8.ja.vtt 2.4 kBPart 03-Module 01-Lesson 02_Introduction to Kalman Filters/12. Parameter Update-d8UrbKKlGxI.ja.vtt 2.4 kBPart 05-Module 01-Lesson 01_C++ Intro to Optimization/12. C Opt 05 L V3-rTtZVyWxYG8.en.vtt 2.4 kBPart 06-Module 01-Lesson 01_How to Solve Problems/24. Define Simple nextDay-Qttkfhh3I5s.ja.vtt 2.4 kBPart 02-Module 01-Lesson 11_Robot Localization/23. Limit Distribution Quiz-SXSafquSoW8.zh-CN.vtt 2.4 kBPart 03-Module 01-Lesson 02_Introduction to Kalman Filters/12. Parameter Update-d8UrbKKlGxI.en.vtt 2.4 kBPart 06-Module 01-Lesson 01_How to Solve Problems/37. Solution Step II-SGC8UAz12Q4.en.vtt 2.4 kBPart 08-Module 01-Lesson 01_Computer Vision and Classification/02. Computer Vision and Sebastian-pil3PeZzCIY.zh-CN.vtt 2.4 kBPart 06-Module 01-Lesson 01_How to Solve Problems/03. Como Resolver Problemas-E6t0oGRXXh8.uk.vtt 2.4 kBPart 06-Module 01-Lesson 02_Data Structures/10. Nd113 C5 L02 09 L Adding Labels V2-VZcXBAHs5ts.en.vtt 2.4 kBPart 02-Module 01-Lesson 03_Probability/25. Summary-hIEDvyCETEw.th.vtt 2.4 kBPart 08-Module 01-Lesson 01_Computer Vision and Classification/04. Nd113 C7 02 L Introducing Tarin V2-us2b__pBR8Y.en.vtt 2.4 kBPart 02-Module 01-Lesson 11_Robot Localization/19. Inexact Motion 1-C3f-T9_GTpw.es-ES.vtt 2.4 kBPart 06-Module 01-Lesson 01_How to Solve Problems/24. Define Simple nextDay-Qttkfhh3I5s.en.vtt 2.3 kBPart 06-Module 01-Lesson 01_How to Solve Problems/24. Define Simple nextDay-Qttkfhh3I5s.pt-BR.vtt 2.3 kBPart 06-Module 01-Lesson 03_The Search Problem/19. Search Comparison-RMt_NiyY4nU.en.vtt 2.3 kBPart 06-Module 01-Lesson 01_How to Solve Problems/06. First Step-N8dKtrrCZ7U.en.vtt 2.3 kBPart 02-Module 01-Lesson 06_Bayes' Rule/26. Bayes Rule Summary-RgXQ8GRsjfc.zh-CN.vtt 2.3 kBPart 06-Module 01-Lesson 01_How to Solve Problems/10. How Are Inputs Represented-kG94A6xHqZk.uk.vtt 2.3 kBPart 02-Module 01-Lesson 11_Robot Localization/19. Inexact Motion 1-C3f-T9_GTpw.ja-JP.vtt 2.3 kBPart 06-Module 01-Lesson 01_How to Solve Problems/37. Solution Step II-SGC8UAz12Q4.zh-CN.vtt 2.3 kBPart 02-Module 01-Lesson 11_Robot Localization/19. Inexact Motion 1-C3f-T9_GTpw.it.vtt 2.3 kBPart 02-Module 01-Lesson 11_Robot Localization/19. Inexact Motion 1-C3f-T9_GTpw.pt-PT.vtt 2.3 kBPart 06-Module 01-Lesson 03_The Search Problem/34. Problems With Search-5RmTKsNoG6M.zh-CN.vtt 2.3 kBPart 08-Module 01-Lesson 01_Computer Vision and Classification/43. Nd113 C7 40 L Convolution In Self-Driving Cars-nz7rOTZ99X4.en.vtt 2.3 kBPart 02-Module 01-Lesson 11_Robot Localization/19. Inexact Motion 1-C3f-T9_GTpw.pt.vtt 2.3 kBPart 02-Module 01-Lesson 06_Bayes' Rule/30. Robot Sensing 4-vasdN2Gol0M.ar.vtt 2.3 kBPart 02-Module 01-Lesson 04_Conditional Probability/22. Two Coins 4-9R44IyZ-aQI.th.vtt 2.3 kBPart 06-Module 01-Lesson 02_Data Structures/05. Nd113 C5 L02 05 L Representing A Single Ticket V1 RENDER V1-wXTASv5R-VQ.en.vtt 2.2 kBPart 02-Module 01-Lesson 03_Probability/13. Two Flips 1-1txkcmxk3vU.ar.vtt 2.2 kBPart 03-Module 01-Lesson 02_Introduction to Kalman Filters/19. Kalman Filter Code-3xBycKfnCOQ.es-ES.vtt 2.2 kBPart 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/06. Nd113 C6 07 L The Integral Area Under A Curve H1 V2-Nhpvh2dolcE.zh-CN.vtt 2.2 kBPart 06-Module 01-Lesson 01_How to Solve Problems/28. Step One Pseudocode-hJzpU5qC3hs.ja.vtt 2.2 kBPart 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/12. Solving Trig Problems Part1-qI4i845d7Qg.ja-JP.vtt 2.2 kBPart 02-Module 01-Lesson 06_Bayes' Rule/04. Using Sensor Data-vhl-SADfti8.ar.vtt 2.2 kBPart 02-Module 01-Lesson 11_Robot Localization/19. Inexact Motion 1-C3f-T9_GTpw.en.vtt 2.2 kBPart 03-Module 01-Lesson 03_State and Object-Oriented Programming/03. Motion Models-qSdbn_PVQnk.zh-CN.vtt 2.2 kBPart 06-Module 01-Lesson 01_How to Solve Problems/23. What Should We Write First-HRepefDqkDM.ja.vtt 2.2 kBPart 06-Module 01-Lesson 01_How to Solve Problems/39. 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Making Progress Is Good-cUFZPid3yVw.ar.vtt 1.2 kBPart 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/03. L1 02 B V2-AFuQ1i3eUN8.en.vtt 1.2 kBPart 02-Module 01-Lesson 06_Bayes' Rule/15. Equivalent Diagram-aUFWZ2uJuBE.es-ES.vtt 1.2 kBPart 06-Module 01-Lesson 01_How to Solve Problems/19. Should We Implement It-M62yGhjmJoA.en.vtt 1.2 kBPart 02-Module 01-Lesson 11_Robot Localization/05. Uniform Probability Quiz-6tV5NY1HoNA.ru.vtt 1.2 kBPart 02-Module 01-Lesson 11_Robot Localization/15. Test Sense Function-Lf2DYUCsUH4.zh-CN.vtt 1.2 kBPart 06-Module 01-Lesson 01_How to Solve Problems/33. Best Strategy-2T1JONL0WyE.zh-CN.vtt 1.2 kBPart 02-Module 01-Lesson 03_Probability/14. Two Flips 2-uhrL5fatt3E.ar.vtt 1.2 kBPart 02-Module 01-Lesson 08_Probability Distributions/22. Calculate Density-oZDLtTdhDy4.es-ES.vtt 1.2 kBPart 02-Module 01-Lesson 11_Robot Localization/36. Coin Flip Quiz-ASUXN9Ay35M.pt-PT.vtt 1.2 kBPart 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/04. Nd113 C6 L3 045 L Moving At An Angle Part2 V2-iI6zCp0RegM.zh-CN.vtt 1.2 kBPart 02-Module 01-Lesson 03_Probability/21. One Of Three 1-bDCXSxkochE.es-ES.vtt 1.2 kBPart 02-Module 01-Lesson 03_Probability/25. Summary-hIEDvyCETEw.ja.vtt 1.2 kBPart 02-Module 01-Lesson 06_Bayes' Rule/35. Generalizing-SdMk3aROgSc.zh-CN.vtt 1.2 kBPart 02-Module 01-Lesson 11_Robot Localization/36. Coin Flip Quiz-ASUXN9Ay35M.pt.vtt 1.2 kBPart 08-Module 01-Lesson 01_Computer Vision and Classification/50. Nd113 C7 47 L Outro-YbWjhAVvdKc.zh-CN.vtt 1.2 kBPart 02-Module 01-Lesson 04_Conditional Probability/17. Medical Example 8-btGdX0ZpkNU.th.vtt 1.2 kBPart 02-Module 01-Lesson 04_Conditional Probability/22. Two Coins 4-9R44IyZ-aQI.pt-BR.vtt 1.2 kBPart 02-Module 01-Lesson 03_Probability/21. One Of Three 1-bDCXSxkochE.it.vtt 1.2 kBPart 02-Module 01-Lesson 11_Robot Localization/37. Two Coin Quiz-2PZHPjyYnMg.es-ES.vtt 1.2 kBPart 06-Module 01-Lesson 01_How to Solve Problems/07. Understanding a Problem-hkspB2e0S9A.en.vtt 1.2 kBPart 02-Module 01-Lesson 06_Bayes' Rule/19. Normalizing Probability-yYqN9Mf4jqw.ja.vtt 1.2 kBPart 03-Module 01-Lesson 02_Introduction to Kalman Filters/04. Variance Comparison-rczAG7meAY4.en.vtt 1.2 kBPart 03-Module 01-Lesson 02_Introduction to Kalman Filters/08. Measurement and Motion 1-Y7Mr_5Hfe24.es-ES.vtt 1.2 kBPart 02-Module 01-Lesson 06_Bayes' Rule/20. Disease Test 1-05upwXtARuo.th.vtt 1.2 kBPart 03-Module 01-Lesson 02_Introduction to Kalman Filters/04. Variance Comparison-rczAG7meAY4.es-ES.vtt 1.2 kBPart 06-Module 01-Lesson 01_How to Solve Problems/11. What Are the Outputs-5vjhu_cssNQ.zh-CN.vtt 1.2 kBPart 06-Module 01-Lesson 01_How to Solve Problems/01. Nd113 Navigating L1 01 V1-5tdMvdcUF-E.zh-CN.vtt 1.2 kBPart 03-Module 01-Lesson 02_Introduction to Kalman Filters/20. Kalman Prediction-tSfmiuB9s2c.zh-CN.vtt 1.2 kBPart 03-Module 01-Lesson 04_Matrices and Transformation of State/02. Kalman Prediction-tSfmiuB9s2c.zh-CN.vtt 1.2 kBPart 02-Module 01-Lesson 11_Robot Localization/20. Inexact Motion 2-jR7FERpsqe4.it.vtt 1.2 kBPart 05-Module 01-Lesson 01_C++ Intro to Optimization/01. Course Introduction-Lwc5oYApdUM.zh-CN.vtt 1.2 kBPart 02-Module 01-Lesson 04_Conditional Probability/12. Medical Example 3-Iz4ViIg9ZlQ.pt-BR.vtt 1.2 kBPart 02-Module 01-Lesson 08_Probability Distributions/22. Calculate Density-oZDLtTdhDy4.en.vtt 1.2 kBPart 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/15. Conclusion-gMbDqd4ItiU.en.vtt 1.2 kBPart 02-Module 01-Lesson 03_Probability/06. Flipping Coins-lgUDXtUyLLg.th.vtt 1.2 kBPart 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/01. L3 01 V2-a_eHxfy5tnI.en.vtt 1.2 kBPart 02-Module 01-Lesson 11_Robot Localization/36. Coin Flip Quiz-ASUXN9Ay35M.it.vtt 1.2 kBPart 02-Module 01-Lesson 03_Probability/21. One Of Three 1-bDCXSxkochE.en.vtt 1.2 kBPart 06-Module 01-Lesson 01_How to Solve Problems/32. Real World Problem-lY0CYTfkLWo.zh-CN.vtt 1.2 kBPart 06-Module 01-Lesson 01_How to Solve Problems/26. What Should We Do Next-ZETmw5tFcFU.zh-CN.vtt 1.2 kBPart 02-Module 01-Lesson 11_Robot Localization/20. Inexact Motion 2-jR7FERpsqe4.zh-CN.vtt 1.2 kBPart 06-Module 01-Lesson 01_How to Solve Problems/20. Different Approach-czjMsAXjWVg.es-MX.vtt 1.2 kBPart 02-Module 01-Lesson 06_Bayes' Rule/15. Equivalent Diagram-aUFWZ2uJuBE.en.vtt 1.2 kBPart 02-Module 01-Lesson 06_Bayes' Rule/36. Sebastian At Home-TtmQ7YCw_1Y.es-ES.vtt 1.2 kBPart 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/07. Power of Trigonometry-yLMTfBq_I3k.zh-CN.vtt 1.2 kBPart 02-Module 01-Lesson 06_Bayes' Rule/02. Bayes' Rule and Robotics-meNSO42JF6I.pt-BR.vtt 1.2 kBPart 03-Module 01-Lesson 02_Introduction to Kalman Filters/15. Separated Gaussians 2-edcfMK_bKXw.zh-CN.vtt 1.2 kBPart 02-Module 01-Lesson 03_Probability/01. Nd113 C1 L3 01 L Introducing Uncertainty V1-NDOm-0qN8e8.zh-CN.vtt 1.2 kBPart 06-Module 01-Lesson 01_How to Solve Problems/33. Best Strategy-2T1JONL0WyE.pt-BR.vtt 1.2 kBPart 02-Module 01-Lesson 06_Bayes' Rule/36. Sebastian At Home-TtmQ7YCw_1Y.ja.vtt 1.2 kBPart 02-Module 01-Lesson 03_Probability/21. One Of Three 1-bDCXSxkochE.ja.vtt 1.2 kBPart 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/05. Nd113 C6 L3 05 L Moving At 53 Degrees V2-VmoknN6xLKs.ja-JP.vtt 1.2 kBPart 06-Module 01-Lesson 01_How to Solve Problems/12. Obey the Rules-NZq4vDooURs.ar.vtt 1.2 kBPart 02-Module 01-Lesson 11_Robot Localization/20. Inexact Motion 2-jR7FERpsqe4.pt-PT.vtt 1.2 kBPart 02-Module 01-Lesson 11_Robot Localization/20. Inexact Motion 2-jR7FERpsqe4.pt.vtt 1.2 kBPart 06-Module 01-Lesson 01_How to Solve Problems/40. Conclusion-JmP5wzHFchc.en.vtt 1.2 kBPart 06-Module 01-Lesson 03_The Search Problem/17. Uniform Cost Search 4-yO_uxVtEjq8.en.vtt 1.2 kBPart 02-Module 01-Lesson 03_Probability/21. One Of Three 1-bDCXSxkochE.hr.vtt 1.2 kBPart 06-Module 01-Lesson 01_How to Solve Problems/29. Step Two Helper Function-lpprz4op11k.ja.vtt 1.1 kBPart 06-Module 01-Lesson 01_How to Solve Problems/31. Test for Valid Inputs-7c7wYMftRSg.ja.vtt 1.1 kBPart 02-Module 01-Lesson 11_Robot Localization/36. Coin Flip Quiz-ASUXN9Ay35M.zh-CN.vtt 1.1 kBPart 06-Module 01-Lesson 03_The Search Problem/17. Uniform Cost Search 4-yO_uxVtEjq8.zh-CN.vtt 1.1 kBPart 03-Module 01-Lesson 05_Implement Matrix Class/01. Nd113P2 C2 L5 01 L Implement Matrix-0Ie9IxW9VDw.en.vtt 1.1 kBPart 06-Module 01-Lesson 01_How to Solve Problems/35. Finish daysBetweenDates--70lzVJyS8Y.ar.vtt 1.1 kBPart 02-Module 01-Lesson 04_Conditional Probability/21. Two Coins 3-GO6kbL3QRBE.it.vtt 1.1 kBPart 02-Module 01-Lesson 08_Probability Distributions/18. Birth Time Density-EhLR8l5XAiQ.es-ES.vtt 1.1 kBPart 02-Module 01-Lesson 11_Robot Localization/15. Test Sense Function-Lf2DYUCsUH4.ja.vtt 1.1 kBPart 02-Module 01-Lesson 06_Bayes' Rule/19. Normalizing Probability-yYqN9Mf4jqw.en.vtt 1.1 kBPart 02-Module 01-Lesson 11_Robot Localization/36. Coin Flip Quiz-ASUXN9Ay35M.en.vtt 1.1 kBPart 03-Module 01-Lesson 02_Introduction to Kalman Filters/16. New Mean and Variance-yo8jf0U4hlc.zh-CN.vtt 1.1 kBPart 02-Module 01-Lesson 08_Probability Distributions/18. Birth Time Density-EhLR8l5XAiQ.en.vtt 1.1 kBPart 06-Module 01-Lesson 01_How to Solve Problems/07. Understanding a Problem-hkspB2e0S9A.pt-BR.vtt 1.1 kBPart 02-Module 01-Lesson 04_Conditional Probability/21. Two Coins 3-GO6kbL3QRBE.es-ES.vtt 1.1 kBPart 06-Module 01-Lesson 01_How to Solve Problems/21. Simple Mechanical Algorithm-wN445aeFEFI.en.vtt 1.1 kBPart 06-Module 01-Lesson 01_How to Solve Problems/27. Define daysBetweenDates-oM3oyyQKQFU.en.vtt 1.1 kBPart 02-Module 01-Lesson 11_Robot Localization/16. Multiple Measurements--3qTapGGa-8.pt-PT.vtt 1.1 kBPart 02-Module 01-Lesson 11_Robot Localization/16. Multiple Measurements--3qTapGGa-8.pt.vtt 1.1 kBPart 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/08. Nd113 C6 L3 08 L Opposite Adjacent Hypotenuse V2-hJ-7qj9iHWo.zh-CN.vtt 1.1 kBPart 02-Module 01-Lesson 06_Bayes' Rule/28. Robot Sensing 2-aBBmlnd7okQ.ar.vtt 1.1 kBPart 02-Module 01-Lesson 04_Conditional Probability/22. Two Coins 4-9R44IyZ-aQI.ja.vtt 1.1 kBPart 02-Module 01-Lesson 11_Robot Localization/16. Multiple Measurements--3qTapGGa-8.es-ES.vtt 1.1 kBPart 02-Module 01-Lesson 11_Robot Localization/37. Two Coin Quiz-2PZHPjyYnMg.ja.vtt 1.1 kBPart 02-Module 01-Lesson 11_Robot Localization/16. Multiple Measurements--3qTapGGa-8.es.vtt 1.1 kBPart 02-Module 01-Lesson 03_Probability/07. Fair Coin-9LrlrexpW_o.ar.vtt 1.1 kBPart 06-Module 01-Lesson 01_How to Solve Problems/15. Take the Next Step-L4vB8eu6Wo8.zh-CN.vtt 1.1 kBPart 02-Module 01-Lesson 06_Bayes' Rule/11. Normalizing 2-WYA5Zbf8HC4.th.vtt 1.1 kBPart 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/10. Rate Gyros-TmnecSf80b0.zh-CN.vtt 1.1 kBPart 03-Module 01-Lesson 02_Introduction to Kalman Filters/02. Tracking Intro-lDykH1UHq38.zh-CN.vtt 1.1 kBPart 02-Module 01-Lesson 06_Bayes' Rule/08. Cancer Test-FnNveASivMA.it.vtt 1.1 kBPart 06-Module 01-Lesson 01_How to Solve Problems/29. Step Two Helper Function-lpprz4op11k.en.vtt 1.1 kBPart 02-Module 01-Lesson 03_Probability/19. One Head 1-T4A5uyqesjo.th.vtt 1.1 kBPart 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/03. L1 02 B V2-AFuQ1i3eUN8.zh-CN.vtt 1.1 kBPart 03-Module 01-Lesson 05_Implement Matrix Class/01. Nd113P2 C2 L5 01 L Implement Matrix-0Ie9IxW9VDw.zh-CN.vtt 1.1 kBPart 02-Module 01-Lesson 06_Bayes' Rule/15. Equivalent Diagram-aUFWZ2uJuBE.ja.vtt 1.1 kBPart 06-Module 01-Lesson 01_How to Solve Problems/11. What Are the Outputs-4jNzxstbCy0.en.vtt 1.1 kBPart 02-Module 01-Lesson 11_Robot Localization/37. Two Coin Quiz-2PZHPjyYnMg.it.vtt 1.1 kBPart 06-Module 01-Lesson 01_How to Solve Problems/21. Simple Mechanical Algorithm-wN445aeFEFI.ja.vtt 1.1 kBPart 02-Module 01-Lesson 06_Bayes' Rule/25. Disease Test 6-OdVAt79eQak.ar.vtt 1.1 kBPart 02-Module 01-Lesson 11_Robot Localization/16. Multiple Measurements--3qTapGGa-8.it.vtt 1.1 kBPart 02-Module 01-Lesson 11_Robot Localization/13. Sense Function-Y5iFxWRTw1c.ja-JP.vtt 1.1 kBPart 02-Module 01-Lesson 06_Bayes' Rule/08. Cancer Test-FnNveASivMA.es-ES.vtt 1.1 kBPart 02-Module 01-Lesson 08_Probability Distributions/02. Intro To Probability Distribution 1-gqPjMDVFvNg.en.vtt 1.1 kBPart 02-Module 01-Lesson 03_Probability/03. Learning Objectives Explained-tAkq3iZLJ-c.zh-CN.vtt 1.1 kBPart 02-Module 01-Lesson 11_Robot Localization/37. Two Coin Quiz-2PZHPjyYnMg.zh-CN.vtt 1.1 kBPart 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/15. Conclusion-gMbDqd4ItiU.zh-CN.vtt 1.1 kBPart 03-Module 01-Lesson 02_Introduction to Kalman Filters/08. Measurement and Motion 1-Y7Mr_5Hfe24.ja.vtt 1.1 kBPart 03-Module 01-Lesson 02_Introduction to Kalman Filters/11. Predicting the Peak-zc_GQiISQ3E.ja-JP.vtt 1.1 kBPart 02-Module 01-Lesson 03_Probability/09. Loaded Coin 2-dGffszQYzqc.ar.vtt 1.1 kBPart 02-Module 01-Lesson 04_Conditional Probability/04. Dependent Events and Conditional Probability-GDWdCH4ilDI.en.vtt 1.1 kBPart 02-Module 01-Lesson 08_Probability Distributions/12. Stops Nowhere-BlC2BwoDxL8.es-ES.vtt 1.1 kBPart 02-Module 01-Lesson 11_Robot Localization/16. Multiple Measurements--3qTapGGa-8.ja-JP.vtt 1.1 kBPart 02-Module 01-Lesson 11_Robot Localization/17. Exact Motion-1mL6CtD3rAM.ja-JP.vtt 1.1 kBPart 03-Module 01-Lesson 02_Introduction to Kalman Filters/13. Parameter Update 2-_AAkw_fynwc.es-ES.vtt 1.1 kBPart 06-Module 01-Lesson 01_How to Solve Problems/40. Conclusion-JmP5wzHFchc.pt-BR.vtt 1.1 kBPart 02-Module 01-Lesson 11_Robot Localization/37. Two Coin Quiz-2PZHPjyYnMg.pt-PT.vtt 1.1 kBPart 02-Module 01-Lesson 03_Probability/23. Even Roll-DrnAR4SqlEE.ar.vtt 1.1 kBPart 02-Module 01-Lesson 11_Robot Localization/37. Two Coin Quiz-2PZHPjyYnMg.pt.vtt 1.1 kBPart 06-Module 01-Lesson 01_How to Solve Problems/11. What Are the Outputs-5vjhu_cssNQ.pt-BR.vtt 1.1 kBPart 02-Module 01-Lesson 04_Conditional Probability/12. Medical Example 3-Iz4ViIg9ZlQ.ja.vtt 1.1 kBPart 02-Module 01-Lesson 06_Bayes' Rule/08. Cancer Test-FnNveASivMA.en.vtt 1.1 kBPart 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/05. Nd113 C6 L3 05 L Moving At 53 Degrees V2-VmoknN6xLKs.zh-CN.vtt 1.1 kBPart 02-Module 01-Lesson 11_Robot Localization/17. Exact Motion-1mL6CtD3rAM.es-MX.vtt 1.1 kBPart 06-Module 01-Lesson 03_The Search Problem/22. Search Comparison 3-4KHmQEoqmeI.en.vtt 1.1 kBPart 02-Module 01-Lesson 03_Probability/12. Probability In Robotics-BKLwvL1D0yE.en.vtt 1.1 kBPart 02-Module 01-Lesson 11_Robot Localization/16. Multiple Measurements--3qTapGGa-8.ja.vtt 1.1 kBPart 02-Module 01-Lesson 11_Robot Localization/37. Two Coin Quiz-2PZHPjyYnMg.en.vtt 1.1 kBPart 03-Module 01-Lesson 02_Introduction to Kalman Filters/16. New Mean and Variance-SwxRWZaC1FM.ja.vtt 1.1 kBPart 02-Module 01-Lesson 08_Probability Distributions/20. Changing Density 2-v30w4s2djfc.es-ES.vtt 1.1 kBPart 06-Module 01-Lesson 01_How to Solve Problems/19. Should We Implement It-M62yGhjmJoA.zh-CN.vtt 1.1 kBPart 02-Module 01-Lesson 04_Conditional Probability/20. Two Coins 2-tI0J14yQr1s.ar.vtt 1.1 kBPart 06-Module 01-Lesson 01_How to Solve Problems/20. Different Approach-czjMsAXjWVg.en.vtt 1.1 kBPart 02-Module 01-Lesson 03_Probability/24. Doubles-On_Guw8wac8.th.vtt 1.1 kBPart 02-Module 01-Lesson 06_Bayes' Rule/36. Sebastian At Home-TtmQ7YCw_1Y.en.vtt 1.1 kBPart 03-Module 01-Lesson 02_Introduction to Kalman Filters/16. New Mean and Variance-SwxRWZaC1FM.ja-JP.vtt 1.1 kBPart 02-Module 01-Lesson 11_Robot Localization/13. Sense Function-Y5iFxWRTw1c.es-ES.vtt 1.1 kBPart 03-Module 01-Lesson 04_Matrices and Transformation of State/01. Nd113 C2 L3 01 L Connection To Kalman Filters V1-bwaakDKn4nI.zh-CN.vtt 1.1 kBPart 02-Module 01-Lesson 04_Conditional Probability/21. Two Coins 3-GO6kbL3QRBE.en.vtt 1.1 kBPart 02-Module 01-Lesson 11_Robot Localization/17. Exact Motion-1mL6CtD3rAM.es-ES.vtt 1.1 kBPart 02-Module 01-Lesson 11_Robot Localization/13. Sense Function-Y5iFxWRTw1c.es.vtt 1.1 kBPart 03-Module 01-Lesson 01_Section Overview/01. Introduction to Matrices-Ugx3mldc0lE.en.vtt 1.1 kBPart 02-Module 01-Lesson 08_Probability Distributions/18. Birth Time Density-EhLR8l5XAiQ.ja.vtt 1.1 kBPart 02-Module 01-Lesson 11_Robot Localization/17. Exact Motion-1mL6CtD3rAM.es.vtt 1.1 kBPart 02-Module 01-Lesson 03_Probability/25. Summary-hIEDvyCETEw.zh-CN.vtt 1.1 kBPart 02-Module 01-Lesson 11_Robot Localization/16. Multiple Measurements--3qTapGGa-8.en.vtt 1.1 kBPart 03-Module 01-Lesson 02_Introduction to Kalman Filters/08. Measurement and Motion 1-Y7Mr_5Hfe24.en.vtt 1.0 kBPart 02-Module 01-Lesson 11_Robot Localization/16. Multiple Measurements--3qTapGGa-8.zh-CN.vtt 1.0 kBPart 06-Module 01-Lesson 01_How to Solve Problems/07. Understanding a Problem-hkspB2e0S9A.zh-CN.vtt 1.0 kBPart 06-Module 01-Lesson 01_How to Solve Problems/32. Real World Problem-lY0CYTfkLWo.pt-BR.vtt 1.0 kBPart 03-Module 01-Lesson 01_Section Overview/01. Introduction to Matrices-Ugx3mldc0lE.zh-CN.vtt 1.0 kBPart 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/01. L3 01 V2-a_eHxfy5tnI.zh-CN.vtt 1.0 kBPart 03-Module 01-Lesson 02_Introduction to Kalman Filters/16. New Mean and Variance-SwxRWZaC1FM.es-ES.vtt 1.0 kBPart 06-Module 01-Lesson 01_How to Solve Problems/27. Define daysBetweenDates-oM3oyyQKQFU.ja.vtt 1.0 kBPart 06-Module 01-Lesson 01_How to Solve Problems/15. Take the Next Step-L4vB8eu6Wo8.pt-BR.vtt 1.0 kBPart 02-Module 01-Lesson 08_Probability Distributions/10. Landing Probability-PNiaE1fy-7k.ja.vtt 1.0 kBPart 02-Module 01-Lesson 11_Robot Localization/04. Total Probability-n1EacrqyCs8.bn.vtt 1.0 kBPart 02-Module 01-Lesson 04_Conditional Probability/22. Two Coins 4-cDub-OOrIRE.ar.vtt 1.0 kBPart 02-Module 01-Lesson 03_Probability/22. One Of Three 2-gGgqTGZ9TKg.pt-BR.vtt 1.0 kBPart 06-Module 01-Lesson 01_How to Solve Problems/23. What Should We Write First-YCQWVwsCZCk.pt-BR.vtt 1.0 kBPart 06-Module 01-Lesson 01_How to Solve Problems/25. Making Progress Is Good-cUFZPid3yVw.es-AR.vtt 1.0 kBPart 02-Module 01-Lesson 11_Robot Localization/17. Exact Motion-1mL6CtD3rAM.pt-PT.vtt 1.0 kBPart 03-Module 01-Lesson 02_Introduction to Kalman Filters/13. Parameter Update 2-_AAkw_fynwc.en.vtt 1.0 kBPart 02-Module 01-Lesson 06_Bayes' Rule/07. Bayes Rules-CohZnkZMOxE.th.vtt 1.0 kBPart 02-Module 01-Lesson 11_Robot Localization/17. Exact Motion-1mL6CtD3rAM.pt.vtt 1.0 kBPart 06-Module 01-Lesson 01_How to Solve Problems/17. Harder Example--eAKNo9cA6Y.ar.vtt 1.0 kBPart 02-Module 01-Lesson 03_Probability/13. Two Flips 1-yUIz7SgUwJg.th.vtt 1.0 kBPart 02-Module 01-Lesson 06_Bayes' Rule/08. Cancer Test-FnNveASivMA.ja.vtt 1.0 kBPart 06-Module 01-Lesson 01_How to Solve Problems/31. Test for Valid Inputs-7c7wYMftRSg.en.vtt 1.0 kBPart 02-Module 01-Lesson 03_Probability/20. One Head 2-64EjAbqrtmo.th.vtt 1.0 kBPart 02-Module 01-Lesson 03_Probability/12. Probability In Robotics-BKLwvL1D0yE.zh-CN.vtt 1.0 kBPart 02-Module 01-Lesson 06_Bayes' Rule/08. Cancer Test-FnNveASivMA.pt-BR.vtt 1.0 kBPart 02-Module 01-Lesson 06_Bayes' Rule/15. 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Medical Example 7-cw_zgQbAWNU.en.vtt 167 BytesPart 02-Module 01-Lesson 11_Robot Localization/06. Uniform Distribution-_sAkAALHyEg.pt.vtt 167 BytesPart 02-Module 01-Lesson 04_Conditional Probability/15. Medical Example 6-iyE5h48qPFQ.es-ES.vtt 166 BytesPart 02-Module 01-Lesson 08_Probability Distributions/14. Range Probability 2-GMC_T-hbTlc.zh-CN.vtt 166 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/16. Cancer Probabilities-7ZLe_JP5wRY.es-ES.vtt 165 BytesPart 02-Module 01-Lesson 03_Probability/09. Loaded Coin 2-Y7tnbth-gag.zh-CN.vtt 164 BytesPart 02-Module 01-Lesson 04_Conditional Probability/10. Medical Example 1-E1ph6NP3_v4.th.vtt 164 BytesPart 02-Module 01-Lesson 04_Conditional Probability/15. Medical Example 6-iyE5h48qPFQ.it.vtt 164 BytesPart 02-Module 01-Lesson 04_Conditional Probability/15. Medical Example 6-iyE5h48qPFQ.pt-BR.vtt 164 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/13. Total Probability-_hXCgF-aMB0.pt-BR.vtt 164 BytesPart 02-Module 01-Lesson 11_Robot Localization/30. Formal Definition of Probability 1-OQ2JS2wQzrs.pt-PT.vtt 164 BytesPart 02-Module 01-Lesson 04_Conditional Probability/15. Medical Example 6-iyE5h48qPFQ.zh-CN.vtt 163 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/18. Normalizer-W5i-gRAvZxs.ar.vtt 163 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/18. Normalizer-W5i-gRAvZxs.pt-BR.vtt 162 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/23. Disease Test 4-UERKMwmkAsM.ar.vtt 161 BytesPart 02-Module 01-Lesson 11_Robot Localization/30. Formal Definition of Probability 1-OQ2JS2wQzrs.pt.vtt 161 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/24. Disease Test 5-4qW7a5E74No.th.vtt 160 BytesPart 02-Module 01-Lesson 03_Probability/09. Loaded Coin 2-Y7tnbth-gag.ja.vtt 159 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/16. Cancer Probabilities-7ZLe_JP5wRY.zh-CN.vtt 158 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/21. Disease Test 2-GsneDVJB75E.ar.vtt 158 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/33. Robot Sensing 7-goEMc0w58xM.zh-CN.vtt 158 BytesPart 02-Module 01-Lesson 11_Robot Localization/30. Formal Definition of Probability 1-OQ2JS2wQzrs.ja-JP.vtt 158 BytesPart 02-Module 01-Lesson 03_Probability/09. Loaded Coin 2-Y7tnbth-gag.hr.vtt 157 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/32. Robot Sensing 6-Se-ddM2Wdac.es-ES.vtt 157 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/32. Robot Sensing 6-Se-ddM2Wdac.pt-BR.vtt 157 BytesPart 02-Module 01-Lesson 03_Probability/07. Fair Coin-fSKL742j-zk.hr.vtt 155 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/16. Cancer Probabilities-7ZLe_JP5wRY.ja.vtt 155 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/21. Disease Test 2-GsneDVJB75E.es-ES.vtt 155 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/33. Robot Sensing 7-goEMc0w58xM.en.vtt 155 BytesPart 02-Module 01-Lesson 04_Conditional Probability/14. Medical Example 5-fqt7NIvMB0s.ar.vtt 153 BytesPart 02-Module 01-Lesson 11_Robot Localization/30. Formal Definition of Probability 1-OQ2JS2wQzrs.it.vtt 153 BytesPart 02-Module 01-Lesson 04_Conditional Probability/16. Medical Example 7-cw_zgQbAWNU.zh-CN.vtt 152 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/16. Cancer Probabilities-7ZLe_JP5wRY.en.vtt 152 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/23. Disease Test 4-ztkKTrMZHXg.th.vtt 152 BytesPart 02-Module 01-Lesson 11_Robot Localization/05. Uniform Probability Quiz-IZC33Tmy8Lo.en.vtt 150 BytesPart 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-WgX17_mmc1c.ru.vtt 150 BytesPart 02-Module 01-Lesson 03_Probability/07. Fair Coin-fSKL742j-zk.ja.vtt 149 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/21. Disease Test 2-GsneDVJB75E.pt-BR.vtt 149 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/21. Disease Test 2-GsneDVJB75E.zh-CN.vtt 149 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/32. Robot Sensing 6-Se-ddM2Wdac.zh-CN.vtt 149 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/32. Robot Sensing 6-Se-ddM2Wdac.en.vtt 147 BytesPart 02-Module 01-Lesson 11_Robot Localization/30. Formal Definition of Probability 1-OQ2JS2wQzrs.es-ES.vtt 147 BytesPart 02-Module 01-Lesson 04_Conditional Probability/10. Medical Example 1-E1ph6NP3_v4.pt-BR.vtt 146 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/18. Normalizer-G9yQ_URDrDQ.ar.vtt 144 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/13. Total Probability-_hXCgF-aMB0.es-ES.vtt 143 BytesPart 02-Module 01-Lesson 04_Conditional Probability/14. Medical Example 5-fqt7NIvMB0s.es-ES.vtt 142 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/13. Total Probability-_hXCgF-aMB0.ja.vtt 142 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/21. Disease Test 2-GsneDVJB75E.en.vtt 142 BytesPart 02-Module 01-Lesson 11_Robot Localization/30. Formal Definition of Probability 1-OQ2JS2wQzrs.en.vtt 142 BytesPart 02-Module 01-Lesson 04_Conditional Probability/10. Medical Example 1-E1ph6NP3_v4.ja.vtt 141 BytesPart 02-Module 01-Lesson 04_Conditional Probability/15. Medical Example 6-iyE5h48qPFQ.ja.vtt 141 BytesPart 02-Module 01-Lesson 08_Probability Distributions/14. Range Probability 2-GMC_T-hbTlc.ja.vtt 141 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/13. Total Probability-_hXCgF-aMB0.en.vtt 140 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/18. Normalizer-W5i-gRAvZxs.es-ES.vtt 140 BytesPart 02-Module 01-Lesson 11_Robot Localization/05. Uniform Probability Quiz-IZC33Tmy8Lo.ja-JP.vtt 140 BytesPart 02-Module 01-Lesson 04_Conditional Probability/10. Medical Example 1-E1ph6NP3_v4.it.vtt 138 BytesPart 02-Module 01-Lesson 04_Conditional Probability/14. Medical Example 5-fqt7NIvMB0s.ja.vtt 138 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/18. Normalizer-G9yQ_URDrDQ.es-ES.vtt 138 BytesPart 02-Module 01-Lesson 11_Robot Localization/05. Uniform Probability Quiz-IZC33Tmy8Lo.it.vtt 138 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/31. Robot Sensing 5-tIrqdYTT_9Q.th.vtt 137 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/18. Normalizer-W5i-gRAvZxs.en.vtt 136 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/12. Normalizing 3-etrUbOAoh1U.th.vtt 135 BytesPart 02-Module 01-Lesson 11_Robot Localization/30. Formal Definition of Probability 1-OQ2JS2wQzrs.ja.vtt 135 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/18. Normalizer-W5i-gRAvZxs.ja.vtt 134 BytesPart 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-WgX17_mmc1c.ja-JP.vtt 134 BytesPart 02-Module 01-Lesson 11_Robot Localization/05. Uniform Probability Quiz-IZC33Tmy8Lo.ja.vtt 133 BytesPart 02-Module 01-Lesson 04_Conditional Probability/10. Medical Example 1-E1ph6NP3_v4.ar.vtt 132 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/18. Normalizer-G9yQ_URDrDQ.ja.vtt 132 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/22. Disease Test 3-PfEYA6z-19w.th.vtt 130 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/13. Total Probability-_hXCgF-aMB0.it.vtt 129 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/18. Normalizer-G9yQ_URDrDQ.en.vtt 129 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/18. Normalizer-G9yQ_URDrDQ.zh-CN.vtt 129 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/22. Disease Test 3-PfEYA6z-19w.ar.vtt 129 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/23. Disease Test 4-UERKMwmkAsM.es-ES.vtt 129 BytesPart 02-Module 01-Lesson 04_Conditional Probability/14. Medical Example 5-fqt7NIvMB0s.en.vtt 128 BytesPart 02-Module 01-Lesson 11_Robot Localization/05. Uniform Probability Quiz-IZC33Tmy8Lo.zh-CN.vtt 128 BytesPart 02-Module 01-Lesson 04_Conditional Probability/14. Medical Example 5-fqt7NIvMB0s.it.vtt 127 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/13. Total Probability-_hXCgF-aMB0.zh-CN.vtt 127 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/23. Disease Test 4-UERKMwmkAsM.ja.vtt 126 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/33. Robot Sensing 7-clFL503NPyY.ar.vtt 126 BytesPart 02-Module 01-Lesson 08_Probability Distributions/14. Range Probability 2-xFFxdNj6pTA.es-ES.vtt 126 BytesPart 02-Module 01-Lesson 04_Conditional Probability/10. Medical Example 1-E1ph6NP3_v4.es-ES.vtt 125 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/18. Normalizer-G9yQ_URDrDQ.pt-BR.vtt 125 BytesPart 02-Module 01-Lesson 04_Conditional Probability/14. Medical Example 5-fqt7NIvMB0s.zh-CN.vtt 123 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/18. Normalizer-W5i-gRAvZxs.zh-CN.vtt 123 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/23. Disease Test 4-UERKMwmkAsM.pt-BR.vtt 123 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/24. Disease Test 5-4qW7a5E74No.ja.vtt 123 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/31. Robot Sensing 5-tIrqdYTT_9Q.ja.vtt 123 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/22. Disease Test 3-PfEYA6z-19w.ja.vtt 122 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/24. Disease Test 5-4qW7a5E74No.ar.vtt 122 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/24. Disease Test 5-4qW7a5E74No.pt-BR.vtt 122 BytesPart 02-Module 01-Lesson 08_Probability Distributions/14. Range Probability 2-xFFxdNj6pTA.zh-CN.vtt 121 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/23. Disease Test 4-UERKMwmkAsM.en.vtt 120 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/24. Disease Test 5-4qW7a5E74No.es-ES.vtt 120 BytesPart 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-WgX17_mmc1c.es-ES.vtt 120 BytesPart 02-Module 01-Lesson 04_Conditional Probability/10. Medical Example 1-E1ph6NP3_v4.en.vtt 119 BytesPart 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-WgX17_mmc1c.ja.vtt 119 BytesPart 02-Module 01-Lesson 04_Conditional Probability/10. Medical Example 1-E1ph6NP3_v4.zh-CN.vtt 118 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/31. Robot Sensing 5-tIrqdYTT_9Q.ar.vtt 118 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/33. Robot Sensing 7-clFL503NPyY.es-ES.vtt 118 BytesPart 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-WgX17_mmc1c.es.vtt 117 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/23. Disease Test 4-UERKMwmkAsM.zh-CN.vtt 116 BytesPart 02-Module 01-Lesson 08_Probability Distributions/14. Range Probability 2-xFFxdNj6pTA.en.vtt 116 BytesPart 02-Module 01-Lesson 08_Probability Distributions/14. Range Probability 2-xFFxdNj6pTA.ja.vtt 115 BytesPart 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-WgX17_mmc1c.zh-CN.vtt 115 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/22. Disease Test 3-PfEYA6z-19w.zh-CN.vtt 113 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/33. Robot Sensing 7-clFL503NPyY.ja.vtt 113 BytesPart 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-WgX17_mmc1c.en.vtt 113 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/24. Disease Test 5-4qW7a5E74No.zh-CN.vtt 111 BytesPart 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-WgX17_mmc1c.it.vtt 111 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/12. Normalizing 3-etrUbOAoh1U.ar.vtt 110 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/23. Disease Test 4-ztkKTrMZHXg.ja.vtt 110 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/24. Disease Test 5-4qW7a5E74No.en.vtt 110 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/31. Robot Sensing 5-tIrqdYTT_9Q.zh-CN.vtt 110 BytesPart 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-WgX17_mmc1c.pt-PT.vtt 110 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/11. Normalizing 2--pOzdj6pnbA.es-ES.vtt 109 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/12. Normalizing 3-etrUbOAoh1U.es-ES.vtt 109 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/33. Robot Sensing 7-clFL503NPyY.en.vtt 109 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/11. Normalizing 2--pOzdj6pnbA.th.vtt 108 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/12. Normalizing 3-etrUbOAoh1U.pt-BR.vtt 108 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/31. Robot Sensing 5-tIrqdYTT_9Q.es-ES.vtt 108 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/33. Robot Sensing 7-clFL503NPyY.pt-BR.vtt 108 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/33. Robot Sensing 7-clFL503NPyY.zh-CN.vtt 108 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/22. Disease Test 3-PfEYA6z-19w.es-ES.vtt 107 BytesPart 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-WgX17_mmc1c.pt.vtt 107 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/31. Robot Sensing 5-tIrqdYTT_9Q.pt-BR.vtt 106 BytesPart 02-Module 01-Lesson 11_Robot Localization/31. Formal Definition of Probability 2-uw51WQDqXAI.es-ES.vtt 105 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/22. Disease Test 3-PfEYA6z-19w.en.vtt 104 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/12. Normalizing 3-etrUbOAoh1U.en.vtt 103 BytesPart 02-Module 01-Lesson 11_Robot Localization/31. Formal Definition of Probability 2-uw51WQDqXAI.ja-JP.vtt 102 BytesPart 02-Module 01-Lesson 11_Robot Localization/31. Formal Definition of Probability 2-uw51WQDqXAI.ja.vtt 102 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/23. Disease Test 4-ztkKTrMZHXg.es-ES.vtt 101 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/22. Disease Test 3-PfEYA6z-19w.pt-BR.vtt 99 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/23. Disease Test 4-ztkKTrMZHXg.zh-CN.vtt 98 BytesPart 02-Module 01-Lesson 11_Robot Localization/31. Formal Definition of Probability 2-uw51WQDqXAI.pt-PT.vtt 98 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/31. Robot Sensing 5-tIrqdYTT_9Q.en.vtt 97 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/12. Normalizing 3-etrUbOAoh1U.it.vtt 96 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/23. Disease Test 4-ztkKTrMZHXg.ar.vtt 96 BytesPart 02-Module 01-Lesson 11_Robot Localization/31. Formal Definition of Probability 2-uw51WQDqXAI.en.vtt 96 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/11. Normalizing 2--pOzdj6pnbA.ar.vtt 95 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/23. Disease Test 4-ztkKTrMZHXg.en.vtt 95 BytesPart 02-Module 01-Lesson 11_Robot Localization/31. Formal Definition of Probability 2-uw51WQDqXAI.pt.vtt 95 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/12. Normalizing 3-etrUbOAoh1U.ja.vtt 94 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/23. Disease Test 4-ztkKTrMZHXg.pt-BR.vtt 94 BytesPart 02-Module 01-Lesson 11_Robot Localization/31. Formal Definition of Probability 2-uw51WQDqXAI.it.vtt 93 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/11. Normalizing 2--pOzdj6pnbA.pt-BR.vtt 92 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/11. Normalizing 2--pOzdj6pnbA.ja.vtt 91 BytesPart 02-Module 01-Lesson 11_Robot Localization/31. Formal Definition of Probability 2-uw51WQDqXAI.zh-CN.vtt 91 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/11. Normalizing 2--pOzdj6pnbA.it.vtt 90 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/12. Normalizing 3-etrUbOAoh1U.zh-CN.vtt 90 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/11. Normalizing 2--pOzdj6pnbA.en.vtt 89 BytesPart 02-Module 01-Lesson 06_Bayes' Rule/11. Normalizing 2--pOzdj6pnbA.zh-CN.vtt 87 Bytes
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