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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 Bytes
[CourseClub.ME].url 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
[HI-RES] ME!ME!ME! + ME!ME!ME! CHRONIC + GIRL 485.4 MB
Bird Nest Roys - Me Want Me Get Me Need Me Have Me Love - 2013 136.3 MB 1-shatter-me-destroy-me-unravel-me-fracture-me-ignite-me 1.1 GB See Only Me Me Me Me Me (Digital) (Oak) 107.4 MB See Only Me Me Me Me Me (Digital) (Oak) 208.0 MB See Only Me Me Me Me Me (Digital) (Oak) 212.9 MB See Only Me Me Me Me Me (Digital) (Oak) 320.2 MB See Only Me Me Me Me Me (Digital) (Oak) 432.3 MB 1-shatter-me-destroy-me-unravel-me-fracture-me-ignite-me 1.1 GB See Only Me Me Me Me Me (Digital) (Oak) 677.1 MB