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[] UDACITY - Intro to Self-Driving Cars v1.0.0

  • 收录时间:2020-10-11 23:40:47
  • 文件大小:4GB
  • 下载次数:9
  • 最近下载:2021-01-19 17:06:59
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文件列表

  1. Part 01-Module 03-Lesson 02_Get Ready/05. The Great Robot Race-UFGu15hCtKg.mp4 491MB
  2. Part 08-Module 01-Lesson 01_Computer Vision and Classification/Workshops and required files.zip 353MB
  3. Part 05-Module 01-Lesson 03_Project Optimize Histogram Filter/02. Nd113 Running The Project V1--X1pB-HTdnQ.mp4 80MB
  4. Self Driving Cars.zip 79MB
  5. Part 08-Module 01-Lesson 01_Computer Vision and Classification/01. Meet Danny Shapiro At Nvidia-tglLnJNHSI4.mp4 52MB
  6. Part 02-Module 01-Lesson 11_Robot Localization/04. Total Probability-n1EacrqyCs8.mp4 40MB
  7. Part 01-Module 03-Lesson 02_Get Ready/03. Intro to Self-Driving Cars Intro To Jupyter Notebooks-0-5VG9FsdQ0.mp4 36MB
  8. Part 03-Module 01-Lesson 04_Matrices and Transformation of State/06. More Kalman Filters-hUnTg5v4tDU.mp4 35MB
  9. Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/19. Kalman Filter Code-X7cixvcogl8.mp4 34MB
  10. Part 02-Module 01-Lesson 11_Robot Localization/02. Introduction-Uqt_pRbR8rI.mp4 32MB
  11. Part 02-Module 01-Lesson 11_Robot Localization/33. Bayes' Rule-sA5wv56qYc0.mp4 29MB
  12. Part 03-Module 01-Lesson 04_Matrices and Transformation of State/08. Kalman Filter Design-KYEr4BXhD_E.mp4 27MB
  13. Part 04-Module 01-Lesson 06_Translate Python to C++/05. Nd113 Embedded Terminal V1-Bhl5JQ_N9V8.mp4 26MB
  14. Part 05-Module 01-Lesson 01_C++ Intro to Optimization/04. Nd113 Embedded Terminal V1-Bhl5JQ_N9V8.mp4 26MB
  15. Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/01. Meet Phantom Auto-D6-7L9nZMPY.mp4 26MB
  16. Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/02. Tracking Intro-8O9GV4SUToA.mp4 26MB
  17. Part 06-Module 01-Lesson 01_How to Solve Problems/38. Solution Step III-CRv1ogJYe8w.mp4 25MB
  18. Part 06-Module 01-Lesson 01_How to Solve Problems/33. Best Strategy-JsMwEH8cluU.mp4 25MB
  19. Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/17. Gaussian Motion-X7YggdDnLaw.mp4 25MB
  20. Part 08-Module 01-Lesson 01_Computer Vision and Classification/48. Nd113 C7 46 L Evaluation Metrics-fDN4D1QV674.mp4 24MB
  21. Part 03-Module 01-Lesson 04_Matrices and Transformation of State/03. Kalman Filter Land-LXJ5jrvDuEk.mp4 23MB
  22. Part 08-Module 01-Lesson 01_Computer Vision and Classification/13. Images as Grids of Pixels-RVNiaZuv6Ss.mp4 23MB
  23. Part 02-Module 01-Lesson 04_Conditional Probability/11. Medical Example 2-FV_hc3MzS_8.mp4 22MB
  24. Part 08-Module 01-Lesson 01_Computer Vision and Classification/37. Nd113 C7 33 L Features And Classification-Ni3ocWoUDPk.mp4 22MB
  25. Part 08-Module 01-Lesson 01_Computer Vision and Classification/35. Nd113 C7 32 L Average Brightness V2-oUlOS670uQg.mp4 21MB
  26. Part 01-Module 01-Lesson 01_Introduction/03. Meet The Team-U7OiT5kWlnQ.mp4 19MB
  27. Part 01-Module 01-Lesson 01_Introduction/01. Final Teaser ISDC-j7iB0p4dOj4.mp4 19MB
  28. Part 02-Module 01-Lesson 06_Bayes' Rule/08. Cancer Test-CNpSrdnYvbo.mp4 18MB
  29. Part 02-Module 01-Lesson 11_Robot Localization/03. Localization-31xZhj2uPr4.mp4 18MB
  30. Part 02-Module 01-Lesson 11_Robot Localization/35. Theorem of Total Probability-byZ-BzbQA5M.mp4 18MB
  31. Part 02-Module 01-Lesson 11_Robot Localization/27. Sense and Move 2-rmWL_3r8MKo.mp4 18MB
  32. Part 06-Module 01-Lesson 01_How to Solve Problems/36. Solution Step I-bIZgt0ttMeU.mp4 17MB
  33. Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/12. Parameter Update-d8UrbKKlGxI.mp4 17MB
  34. Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/03. Gaussian Intro-GHKKUR6tZE0.mp4 17MB
  35. Part 02-Module 01-Lesson 11_Robot Localization/23. Limit Distribution Quiz-SXSafquSoW8.mp4 17MB
  36. Part 02-Module 01-Lesson 06_Bayes' Rule/26. Bayes Rule Summary-RgXQ8GRsjfc.mp4 17MB
  37. Part 01-Module 03-Lesson 01_The Carla Chronicles Back on Track/img.zip 17MB
  38. Part 08-Module 01-Lesson 01_Computer Vision and Classification/40. High Pass Filters-JOa9ZtV_rB4.mp4 16MB
  39. Part 06-Module 01-Lesson 01_How to Solve Problems/18. Algorithm Pseudocode-Ei91QeYiG_E.mp4 16MB
  40. Part 06-Module 01-Lesson 01_How to Solve Problems/09. What Are the Inputs-cAr-unfe-mg.mp4 16MB
  41. Part 02-Module 01-Lesson 04_Conditional Probability/23. Summary-yepMH9VswI8.mp4 16MB
  42. Part 08-Module 01-Lesson 01_Computer Vision and Classification/07. Image Classification Pipeline-jfu6aqvU1vQ.mp4 16MB
  43. Part 02-Module 01-Lesson 11_Robot Localization/26. Sense and Move-K8g3Hss8Q1A.mp4 15MB
  44. Part 02-Module 01-Lesson 11_Robot Localization/19. Inexact Motion 1-C3f-T9_GTpw.mp4 15MB
  45. Part 02-Module 01-Lesson 06_Bayes' Rule/09. Prior And Posterior-o2Tpws5C2Eg.mp4 15MB
  46. Part 08-Module 01-Lesson 01_Computer Vision and Classification/29. Labeled Data and Accuracy-FN96OM_JGyM.mp4 15MB
  47. Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/10. Shifting the Mean-8c479K2UCZo.mp4 15MB
  48. Part 06-Module 01-Lesson 01_How to Solve Problems/30. Step Three daysBetweenDates-DOkkOsraobw.mp4 15MB
  49. Part 03-Module 01-Lesson 04_Matrices and Transformation of State/04. Kalman Filter Prediciton-HTL5-0DDqE4.mp4 14MB
  50. Part 02-Module 01-Lesson 11_Robot Localization/08. Probability After Sense-UFcTLCttNRI.mp4 14MB
  51. Part 08-Module 01-Lesson 01_Computer Vision and Classification/04. Nd113 C7 02 L Introducing Tarin V2-us2b__pBR8Y.mp4 14MB
  52. Part 08-Module 01-Lesson 01_Computer Vision and Classification/09. Learning To Classify Images-_mE0nkLPSw0.mp4 14MB
  53. Part 08-Module 01-Lesson 01_Computer Vision and Classification/25. Nd113 C7 23 L HSV Conversion-GbrJi0U8T20.mp4 13MB
  54. Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/19. Kalman Filter Code-3xBycKfnCOQ.mp4 13MB
  55. Part 04-Module 01-Lesson 01_C++ Getting Started/15. Two Functions Same Name-9SgmzOfBmRU.mp4 13MB
  56. Part 08-Module 01-Lesson 01_Computer Vision and Classification/43. Nd113 C7 40 L Convolution In Self-Driving Cars-nz7rOTZ99X4.mp4 13MB
  57. Part 08-Module 01-Lesson 01_Computer Vision and Classification/02. Computer Vision and Sebastian-pil3PeZzCIY.mp4 13MB
  58. Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/02. Nd113 C6 L1 01 Inertial Navigation V1 (1)-vWgG0d2HOVE.mp4 13MB
  59. Part 02-Module 01-Lesson 11_Robot Localization/13. Sense Function-eIjyrQpDogg.mp4 13MB
  60. Part 02-Module 01-Lesson 04_Conditional Probability/21. Two Coins 3-JIWv5fU3GLA.mp4 13MB
  61. Part 05-Module 01-Lesson 02_C++ Optimization Practice/16. Nd113 Story 1 V1-lIe2zso8A-w.mp4 13MB
  62. Part 02-Module 01-Lesson 06_Bayes' Rule/14. Bayes Rule Diagram-b8M9CWxRyQ4.mp4 13MB
  63. Part 02-Module 01-Lesson 01_Introduction/01. The Wonderland of Probability and Bayes' Rule-gfFWpMehzpk.mp4 12MB
  64. Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/20. Kalman Prediction-doyrdLJ6rJ4.mp4 12MB
  65. Part 03-Module 01-Lesson 04_Matrices and Transformation of State/02. Kalman Prediction-doyrdLJ6rJ4.mp4 12MB
  66. Part 06-Module 01-Lesson 01_How to Solve Problems/24. Define Simple nextDay-Qttkfhh3I5s.mp4 12MB
  67. Part 04-Module 01-Lesson 01_C++ Getting Started/04. Why C++-_t4ZvwfnuCA.mp4 12MB
  68. Part 06-Module 01-Lesson 01_How to Solve Problems/23. What Should We Write First-HRepefDqkDM.mp4 12MB
  69. Part 02-Module 01-Lesson 11_Robot Localization/21. Inexact Motion 3-7T1Rr7KLgdM.mp4 12MB
  70. Part 04-Module 01-Lesson 01_C++ Getting Started/16. Function Signatures 1-T6kQ_4w98IQ.mp4 12MB
  71. Part 02-Module 01-Lesson 04_Conditional Probability/18. Total Probability-YSYpzFR4k1I.mp4 12MB
  72. Part 02-Module 01-Lesson 06_Bayes' Rule/27. Robot Sensing 1-_DjfTytro6I.mp4 11MB
  73. Part 08-Module 01-Lesson 01_Computer Vision and Classification/22. Nd113 C7 20 L Green Screen Car V2-_YEdV_mRKXQ.mp4 11MB
  74. Part 02-Module 01-Lesson 03_Probability/06. Flipping Coins-OpNufHYgJCg.mp4 11MB
  75. Part 02-Module 01-Lesson 03_Probability/24. Doubles-fkUyTJNbdzU.mp4 11MB
  76. Part 02-Module 01-Lesson 03_Probability/22. One Of Three 2-27Ed1GI4j84.mp4 11MB
  77. Part 08-Module 01-Lesson 01_Computer Vision and Classification/27. Nd113 C7 25 L Day And Night Classification NEEDS ANM V1-bsra6mwtw7U.mp4 11MB
  78. Part 02-Module 01-Lesson 06_Bayes' Rule/36. Sebastian At Home-R4zq6mPPMxs.mp4 11MB
  79. Part 02-Module 01-Lesson 11_Robot Localization/37. Two Coin Quiz-_AhoOd8YUK0.mp4 11MB
  80. Part 02-Module 01-Lesson 11_Robot Localization/18. Move Function-TnFq6hufsYs.mp4 11MB
  81. Part 02-Module 01-Lesson 04_Conditional Probability/20. Two Coins 2-hoVOT8qcQ7c.mp4 11MB
  82. Part 06-Module 01-Lesson 03_The Search Problem/33. Sliding Blocks Puzzle 2-7vExAvX3LbI.mp4 11MB
  83. Part 08-Module 01-Lesson 01_Computer Vision and Classification/51. Ends and Beginnings-lCUkFi4fwLY.mp4 11MB
  84. Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/01. Introduction-XZL934YQ-FQ.mp4 11MB
  85. Part 04-Module 01-Lesson 04_C++ Object Oriented Programming/03. Why Use Object Oriented Programming-G2KzZfNu9Ak.mp4 11MB
  86. Part 06-Module 01-Lesson 01_How to Solve Problems/28. Step One Pseudocode-hJzpU5qC3hs.mp4 11MB
  87. Part 06-Module 01-Lesson 01_How to Solve Problems/37. Solution Step II-SGC8UAz12Q4.mp4 11MB
  88. Part 04-Module 01-Lesson 01_C++ Getting Started/06. Static Vs Dynamic Typing-D7v6iIAORkE.mp4 10MB
  89. Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/10. L1 09 V2-b-zB9Bs8zKQ.mp4 10MB
  90. Part 01-Module 01-Lesson 01_Introduction/07. Intro to Self-Driving Cars Expectations for this Nanodegree-TTOhBB7QaUg.mp4 10MB
  91. Part 06-Module 01-Lesson 03_The Search Problem/05. Tree Search-lCuwrHKxNlU.mp4 10MB
  92. Part 06-Module 01-Lesson 01_How to Solve Problems/14. The Expected Output-trokjJravhc.mp4 10MB
  93. Part 06-Module 01-Lesson 01_How to Solve Problems/16. Try an Example-X29RjzKHsWU.mp4 10MB
  94. Part 02-Module 01-Lesson 11_Robot Localization/28. Localization Summary-MVbo4OAgQCc.mp4 10MB
  95. Part 02-Module 01-Lesson 11_Robot Localization/34. Cancer Test-SZ6Jg1wS604.mp4 10MB
  96. Part 08-Module 01-Lesson 01_Computer Vision and Classification/32. Nd113 C7 29 L Features-HshygbfQylA.mp4 10MB
  97. Part 02-Module 01-Lesson 06_Bayes' Rule/30. Robot Sensing 4-vasdN2Gol0M.mp4 10MB
  98. Part 08-Module 01-Lesson 01_Computer Vision and Classification/50. Nd113 C7 47 L Outro-YbWjhAVvdKc.mp4 10MB
  99. Part 06-Module 01-Lesson 03_The Search Problem/23. More Uniform Cost-8xH-3WtswDs.mp4 10MB
  100. Part 02-Module 01-Lesson 04_Conditional Probability/08. Dependent Things-NDL-rxSYJWo.mp4 10MB
  101. Part 06-Module 01-Lesson 01_How to Solve Problems/06. First Step-N8dKtrrCZ7U.mp4 10MB
  102. Part 02-Module 01-Lesson 11_Robot Localization/26. Sense and Move-1s2dRczcu1A.mp4 10MB
  103. Part 08-Module 01-Lesson 01_Computer Vision and Classification/15. Color Images--XbXiiGQ9gw.mp4 10MB
  104. Part 02-Module 01-Lesson 11_Robot Localization/20. Inexact Motion 2-jR7FERpsqe4.mp4 10MB
  105. Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/16. New Mean and Variance-yo8jf0U4hlc.mp4 9MB
  106. Part 06-Module 01-Lesson 01_How to Solve Problems/21. Simple Mechanical Algorithm-gPfkboHV3QA.mp4 9MB
  107. Part 02-Module 01-Lesson 11_Robot Localization/36. Coin Flip Quiz-ASUXN9Ay35M.mp4 9MB
  108. Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/img.zip 9MB
  109. Part 02-Module 01-Lesson 06_Bayes' Rule/19. Normalizing Probability-yYqN9Mf4jqw.mp4 9MB
  110. Part 02-Module 01-Lesson 03_Probability/25. Summary-hIEDvyCETEw.mp4 9MB
  111. Part 02-Module 01-Lesson 03_Probability/21. One Of Three 1-bDCXSxkochE.mp4 9MB
  112. Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/15. L2 18 V2-nCJQl2kH8bY.mp4 9MB
  113. Part 09-Module 01-Lesson 01_Congratulations! You've finished!/01. Congratulations on completing Intro to Self-Driving Cars!-w640r8wujPw.mp4 9MB
  114. Part 02-Module 01-Lesson 11_Robot Localization/23. Limit Distribution Quiz-kfPWiMsnWFI.mp4 9MB
  115. Part 08-Module 01-Lesson 01_Computer Vision and Classification/31. Feature Extraction-DkmLO7PKhy8.mp4 9MB
  116. Part 01-Module 01-Lesson 01_Introduction/02. Intro to Self-Driving Cars Welcome From Sebastian-qZt87xwkHro.mp4 9MB
  117. Part 02-Module 01-Lesson 11_Robot Localization/18. Move Function-wfjE0mVADIk.mp4 9MB
  118. Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/02. Tracking Intro-lDykH1UHq38.mp4 9MB
  119. Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/07. Approximating The Integral-9C05AHzI_I8.mp4 9MB
  120. Part 08-Module 01-Lesson 01_Computer Vision and Classification/18. Pre-processing--h1GS0SEyzY.mp4 8MB
  121. Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/07. Maximize Gaussian-fRYtUP0P4Lg.mp4 8MB
  122. Part 08-Module 01-Lesson 01_Computer Vision and Classification/10. What Is Machine Learning-3mzV7uQhEos.mp4 8MB
  123. Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/01. Accelerometer Lesson Introduction-GRgbA3XBy6w.mp4 8MB
  124. Part 02-Module 01-Lesson 01_Introduction/02. Course Overview-QTFIJNBXx9w.mp4 8MB
  125. Part 06-Module 01-Lesson 01_How to Solve Problems/22. Don't Optimize Prematurely-uQDk8euwyDI.mp4 8MB
  126. Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/04. Variance Comparison-rczAG7meAY4.mp4 8MB
  127. Part 02-Module 01-Lesson 04_Conditional Probability/22. Two Coins 4-9R44IyZ-aQI.mp4 8MB
  128. Part 08-Module 01-Lesson 01_Computer Vision and Classification/03. Welcome To Computer Vision-qAGnachIrxs.mp4 8MB
  129. Part 06-Module 01-Lesson 03_The Search Problem/04. Example Route Finding-5lrkPKQwOFE.mp4 8MB
  130. Part 04-Module 01-Lesson 01_C++ Getting Started/17. Function Signatures 2-Sx4AWTmXl2U.mp4 8MB
  131. Part 08-Module 01-Lesson 01_Computer Vision and Classification/05. Nd113 C7 03 L Vision And SelfDriving Cars V1-dezDkQ47NaY.mp4 8MB
  132. Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/07. Power of Trigonometry-yLMTfBq_I3k.mp4 8MB
  133. Part 04-Module 01-Lesson 03_Practical C++/01. Introduction To Compilation-dyzGEB8YDGg.mp4 8MB
  134. Part 08-Module 01-Lesson 01_Computer Vision and Classification/39. Nd113 C7 36 L Filters And Finding Edges V1-f3H2EtiZLOQ.mp4 8MB
  135. Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/13. Parameter Update 2-_AAkw_fynwc.mp4 8MB
  136. Part 05-Module 01-Lesson 01_C++ Intro to Optimization/02. C Opt 01 L V2-Kdx1_BI5ddc.mp4 8MB
  137. Part 02-Module 01-Lesson 06_Bayes' Rule/36. Sebastian At Home-TtmQ7YCw_1Y.mp4 8MB
  138. Part 08-Module 01-Lesson 01_Computer Vision and Classification/20. Nd113 C7 19 L Color Masking-4U5fYTbSDg0.mp4 8MB
  139. Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/12. Working with Real Data-WvEcWtAz-OQ.mp4 8MB
  140. Part 02-Module 01-Lesson 11_Robot Localization/15. Test Sense Function-Lf2DYUCsUH4.mp4 7MB
  141. Part 03-Module 01-Lesson 04_Matrices and Transformation of State/10. Nd113 C2 L3 08 L The Kalman Filter Equations V2-X9UUpk5URuw.mp4 7MB
  142. Part 06-Module 01-Lesson 03_The Search Problem/31. Sliding Blocks Puzzle-Dzah_49isp8.mp4 7MB
  143. Part 02-Module 01-Lesson 11_Robot Localization/22. Inexact Move Function-QCnPJcNprEU.mp4 7MB
  144. Part 04-Module 01-Lesson 01_C++ Getting Started/02. Lesson Overview C++-lR3PH3bL-9U.mp4 7MB
  145. Part 02-Module 01-Lesson 11_Robot Localization/13. Sense Function-Y5iFxWRTw1c.mp4 7MB
  146. Part 02-Module 01-Lesson 06_Bayes' Rule/15. Equivalent Diagram-aUFWZ2uJuBE.mp4 7MB
  147. Part 02-Module 01-Lesson 11_Robot Localization/10. Normalize Distribution-SW_wvez0izo.mp4 7MB
  148. Part 06-Module 01-Lesson 03_The Search Problem/24. A Search-HNdOFYCtfu4.mp4 7MB
  149. Part 08-Module 01-Lesson 02_Traffic Light Classifier/Traffic light classifier.zip 7MB
  150. Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/15. Separated Gaussians 2-edcfMK_bKXw.mp4 7MB
  151. Part 02-Module 01-Lesson 08_Probability Distributions/10. Landing Probability-PNiaE1fy-7k.mp4 7MB
  152. Part 02-Module 01-Lesson 06_Bayes' Rule/25. Disease Test 6-OdVAt79eQak.mp4 7MB
  153. Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/08. Measurement and Motion 1-Y7Mr_5Hfe24.mp4 7MB
  154. Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/09. Nd113 C6 L1 09 L Interpreting Position Vs Time Graphs V3-NAEasXHN_PU.mp4 7MB
  155. Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/20. Kalman Prediction-tSfmiuB9s2c.mp4 7MB
  156. Part 03-Module 01-Lesson 04_Matrices and Transformation of State/02. Kalman Prediction-tSfmiuB9s2c.mp4 7MB
  157. Part 03-Module 01-Lesson 04_Matrices and Transformation of State/09. Nd113 C2 L3 08 L Look At Where We Are V2-5EjWMSV-0wo.mp4 7MB
  158. Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/11. Defining The Derivative-043a3JRE1hU.mp4 7MB
  159. Part 02-Module 01-Lesson 08_Probability Distributions/03. Intro To Probability Distribution 2-PglBg4eb_5M.mp4 7MB
  160. Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/10. Rate Gyros-TmnecSf80b0.mp4 7MB
  161. Part 06-Module 01-Lesson 01_How to Solve Problems/10. How Are Inputs Represented-kG94A6xHqZk.mp4 7MB
  162. Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/01. L3 01 V2-a_eHxfy5tnI.mp4 7MB
  163. Part 02-Module 01-Lesson 06_Bayes' Rule/17. Probability Given Test-omC0zbJyzUY.mp4 7MB
  164. Part 06-Module 01-Lesson 03_The Search Problem/35. A Note On Implementation-P3mkDcB-nqY.mp4 7MB
  165. Part 02-Module 01-Lesson 04_Conditional Probability/12. Medical Example 3-Iz4ViIg9ZlQ.mp4 7MB
  166. Part 06-Module 01-Lesson 03_The Search Problem/03. What Is A Problem-gepUYmWERZA.mp4 7MB
  167. Part 06-Module 01-Lesson 01_How to Solve Problems/20. Different Approach-czjMsAXjWVg.mp4 7MB
  168. Part 08-Module 01-Lesson 01_Computer Vision and Classification/45. Nd113 C7 45 L Classification V1-LWD1M2vqXXo.mp4 7MB
  169. Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/16. New Mean and Variance-SwxRWZaC1FM.mp4 6MB
  170. Part 02-Module 01-Lesson 06_Bayes' Rule/35. Generalizing-SdMk3aROgSc.mp4 6MB
  171. Part 06-Module 01-Lesson 01_How to Solve Problems/03. Como Resolver Problemas-E6t0oGRXXh8.mp4 6MB
  172. Part 02-Module 01-Lesson 08_Probability Distributions/18. Birth Time Density-EhLR8l5XAiQ.mp4 6MB
  173. Part 02-Module 01-Lesson 11_Robot Localization/16. Multiple Measurements--3qTapGGa-8.mp4 6MB
  174. Part 06-Module 01-Lesson 01_How to Solve Problems/07. Understanding a Problem-hkspB2e0S9A.mp4 6MB
  175. Part 02-Module 01-Lesson 08_Probability Distributions/20. Changing Density 2-v30w4s2djfc.mp4 6MB
  176. Part 04-Module 01-Lesson 01_C++ Getting Started/15. Two Functions Same Name-0ZF649G58l4.mp4 6MB
  177. Part 02-Module 01-Lesson 11_Robot Localization/37. Two Coin Quiz-2PZHPjyYnMg.mp4 6MB
  178. Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/17. Nd113 C2 L3 20 L Adding Color V2-iltQBIpbCSw.mp4 6MB
  179. Part 06-Module 01-Lesson 01_How to Solve Problems/11. What Are the Outputs-5vjhu_cssNQ.mp4 6MB
  180. Part 04-Module 01-Lesson 01_C++ Getting Started/01. Introduction-ahoiVrq4qAk.mp4 6MB
  181. Part 06-Module 01-Lesson 02_Data Structures/01. Nd113 C5 L2 01 L Lesson Overview V1-LLrp9jq381k.mp4 6MB
  182. Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/12. Solving Trig Problems Part1-qI4i845d7Qg.mp4 6MB
  183. Part 06-Module 01-Lesson 03_The Search Problem/02. Welcome to Search!-pHySYq-wghU.mp4 6MB
  184. Part 06-Module 01-Lesson 01_How to Solve Problems/33. Best Strategy-2T1JONL0WyE.mp4 6MB
  185. Part 08-Module 01-Lesson 01_Computer Vision and Classification/24. Color Spaces and Transforms-qd49BIci-yw.mp4 6MB
  186. Part 04-Module 01-Lesson 01_C++ Getting Started/02. Nd113 C3 L1 04 L Lesson Overview 2 V1-DjT2E23xhj8.mp4 6MB
  187. Part 02-Module 01-Lesson 03_Probability/07. Fair Coin-9LrlrexpW_o.mp4 6MB
  188. Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/03. L1 02 B V2-AFuQ1i3eUN8.mp4 6MB
  189. Part 06-Module 01-Lesson 01_How to Solve Problems/23. What Should We Write First-YCQWVwsCZCk.mp4 6MB
  190. Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/15. Conclusion-gMbDqd4ItiU.mp4 6MB
  191. Part 02-Module 01-Lesson 03_Probability/23. Even Roll-DrnAR4SqlEE.mp4 6MB
  192. Part 02-Module 01-Lesson 02_Joy Ride/01. Project Overview-Ij45-DpGejE.mp4 6MB
  193. Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/06. Nd113 C6 07 L The Integral Area Under A Curve H1 V2-Nhpvh2dolcE.mp4 6MB
  194. Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/11. Predicting the Peak-zc_GQiISQ3E.mp4 6MB
  195. Part 06-Module 01-Lesson 01_How to Solve Problems/15. Take the Next Step-L4vB8eu6Wo8.mp4 6MB
  196. Part 02-Module 01-Lesson 06_Bayes' Rule/29. Robot Sensing 3-m1LSU9SPZ2k.mp4 6MB
  197. Part 02-Module 01-Lesson 08_Probability Distributions/12. Stops Nowhere-BlC2BwoDxL8.mp4 6MB
  198. Part 02-Module 01-Lesson 03_Probability/05. Probability-arJxFjaMsBM.mp4 5MB
  199. Part 02-Module 01-Lesson 03_Probability/22. One Of Three 2-gGgqTGZ9TKg.mp4 5MB
  200. Part 06-Module 01-Lesson 02_Data Structures/03. Nd113 C5 L2 03 L Design Tradeoffs V1-8IpVosy86Fo.mp4 5MB
  201. Part 02-Module 01-Lesson 11_Robot Localization/05. Uniform Probability Quiz-6tV5NY1HoNA.mp4 5MB
  202. Part 06-Module 01-Lesson 02_Data Structures/02. Tracking Tickets RENDER 1 V1-6sbn7ECEOys.mp4 5MB
  203. Part 05-Module 01-Lesson 01_C++ Intro to Optimization/07. 03 L Binary V1 RENDER V1-K6CpHxnhc2s.mp4 5MB
  204. Part 02-Module 01-Lesson 11_Robot Localization/17. Exact Motion-1mL6CtD3rAM.mp4 5MB
  205. Part 02-Module 01-Lesson 04_Conditional Probability/21. Two Coins 3-GO6kbL3QRBE.mp4 5MB
  206. Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/06. 07 L The Integral Area Under A Curve H1 V2-QNvgwoIrsIE.mp4 5MB
  207. Part 06-Module 01-Lesson 01_How to Solve Problems/29. Step Two Helper Function-lpprz4op11k.mp4 5MB
  208. Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/11. Predicting the Peak-PsyqM704q2Y.mp4 5MB
  209. Part 02-Module 01-Lesson 06_Bayes' Rule/04. Using Sensor Data-vhl-SADfti8.mp4 5MB
  210. Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/14. Nd113 C2 L3 17 L Car Class File V2-OOskkXm0mNc.mp4 5MB
  211. Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/05. Preferred Gaussian--9AVZ-N_gbM.mp4 5MB
  212. Part 06-Module 01-Lesson 01_How to Solve Problems/40. Conclusion-JmP5wzHFchc.mp4 5MB
  213. Part 02-Module 01-Lesson 06_Bayes' Rule/27. Robot Sensing 1--TBAfU1cjRU.mp4 5MB
  214. Part 06-Module 01-Lesson 02_Data Structures/19. Nd113 C5 L2 17 L Conclusion V1-a3Q8QSjpVHQ.mp4 5MB
  215. Part 06-Module 01-Lesson 03_The Search Problem/06. Tree Search Continued-8yID2dTeBSM.mp4 5MB
  216. Part 04-Module 01-Lesson 01_C++ Getting Started/10. Doubles Are Bigger-uhwTWgmM2iY.mp4 5MB
  217. Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/22. State Vector-st26ov_TVwM.mp4 5MB
  218. Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/11. Car Object-SnfhGZ76h7Y.mp4 5MB
  219. Part 06-Module 01-Lesson 01_How to Solve Problems/26. What Should We Do Next-ZETmw5tFcFU.mp4 5MB
  220. Part 06-Module 01-Lesson 01_How to Solve Problems/19. Should We Implement It-M62yGhjmJoA.mp4 5MB
  221. Part 06-Module 01-Lesson 01_How to Solve Problems/27. Define daysBetweenDates-oM3oyyQKQFU.mp4 5MB
  222. Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/07. Quantifying State-9zMbwSqTZAc.mp4 5MB
  223. Part 02-Module 01-Lesson 08_Probability Distributions/19. Changing Density-tpsUlBbz5Jo.mp4 5MB
  224. Part 06-Module 01-Lesson 01_How to Solve Problems/11. What Are the Outputs-4jNzxstbCy0.mp4 5MB
  225. Part 02-Module 01-Lesson 08_Probability Distributions/22. Calculate Density-0gcTEExMH3k.mp4 5MB
  226. Part 02-Module 01-Lesson 03_Probability/12. Probability In Robotics-BKLwvL1D0yE.mp4 5MB
  227. Part 02-Module 01-Lesson 04_Conditional Probability/22. Two Coins 4-cDub-OOrIRE.mp4 5MB
  228. Part 02-Module 01-Lesson 11_Robot Localization/36. Coin Flip Quiz-hzDsYZ61D5M.mp4 5MB
  229. Part 06-Module 01-Lesson 03_The Search Problem/18. 17 - Uniform Cost Search 5-oiJLwSnrEDA.mp4 5MB
  230. Part 06-Module 01-Lesson 01_How to Solve Problems/19. Should We Implement It-osHXLCQ9TKE.mp4 5MB
  231. Part 02-Module 01-Lesson 03_Probability/06. Flipping Coins-lgUDXtUyLLg.mp4 5MB
  232. Part 02-Module 01-Lesson 04_Conditional Probability/19. Two Coins 1-QIQBb4nLsHc.mp4 5MB
  233. Part 06-Module 01-Lesson 03_The Search Problem/34. Problems With Search-5RmTKsNoG6M.mp4 5MB
  234. Part 06-Module 01-Lesson 01_How to Solve Problems/14. The Expected Output-tiAFliSz9CY.mp4 5MB
  235. Part 02-Module 01-Lesson 04_Conditional Probability/20. Two Coins 2-tI0J14yQr1s.mp4 5MB
  236. Part 02-Module 01-Lesson 03_Probability/11. Complementary Outcomes-YseJqD-1oUg.mp4 5MB
  237. Part 02-Module 01-Lesson 10_Gaussian Distributions/01. Introduction to Gaussian distributions-VQetR_9lBZc.mp4 4MB
  238. Part 03-Module 01-Lesson 04_Matrices and Transformation of State/04. Kalman Filter Prediciton-SK3cnmu8BYU.mp4 4MB
  239. Part 06-Module 01-Lesson 01_How to Solve Problems/32. Real World Problem-lY0CYTfkLWo.mp4 4MB
  240. Part 05-Module 01-Lesson 01_C++ Intro to Optimization/12. C Opt 05 L V3-rTtZVyWxYG8.mp4 4MB
  241. Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/14. Nd113 C6 L1 14 L A Typical Calculus Problem Part2 V2-0ww_q51P8uY.mp4 4MB
  242. Part 02-Module 01-Lesson 06_Bayes' Rule/01. Reducing Uncertainty-zuFMhmKQ--o.mp4 4MB
  243. Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/13. Parameter Update 2-2BfisMbu86o.mp4 4MB
  244. Part 06-Module 01-Lesson 03_The Search Problem/19. Search Comparison-RMt_NiyY4nU.mp4 4MB
  245. Part 06-Module 01-Lesson 01_How to Solve Problems/25. Making Progress Is Good-cUFZPid3yVw.mp4 4MB
  246. Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/07. L1 06 B V2-GRaIUM6s6B4.mp4 4MB
  247. Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/03. Gaussian Intro-oFpvcWEllBs.mp4 4MB
  248. Part 02-Module 01-Lesson 11_Robot Localization/14. Normalized Sense Function-UX3W8TUKbJ0.mp4 4MB
  249. Part 04-Module 01-Lesson 04_C++ Object Oriented Programming/01. Introduction-4xHI5LFX-cQ.mp4 4MB
  250. Part 02-Module 01-Lesson 06_Bayes' Rule/11. Normalizing 2-WYA5Zbf8HC4.mp4 4MB
  251. Part 05-Module 01-Lesson 01_C++ Intro to Optimization/03. 02 L Intro To Comp HW V1 RENDER V1-WDMGkq9mkB8.mp4 4MB
  252. Part 02-Module 01-Lesson 08_Probability Distributions/21. Check Density-dyqgMA5zRko.mp4 4MB
  253. Part 03-Module 01-Lesson 05_Implement Matrix Class/01. Nd113P2 C2 L5 01 L Implement Matrix-0Ie9IxW9VDw.mp4 4MB
  254. Part 03-Module 01-Lesson 01_Section Overview/01. Introduction to Matrices-Ugx3mldc0lE.mp4 4MB
  255. Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/05. L1 04 B V2-jR7_6Zqq228.mp4 4MB
  256. Part 01-Module 03-Lesson 02_Get Ready/01. Intro to Self-Driving Cars How Did You Do-LGZJrihKAg4.mp4 4MB
  257. Part 02-Module 01-Lesson 11_Robot Localization/16. Multiple Measurements-gDO4sF8gR9k.mp4 4MB
  258. Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/14. Separated Gaussians-QAqsIWVVX0Y.mp4 4MB
  259. Part 06-Module 01-Lesson 03_The Search Problem/12. Breath First Search 5-eyN4162UjH8.mp4 4MB
  260. Part 06-Module 01-Lesson 03_The Search Problem/17. Uniform Cost Search 4-yO_uxVtEjq8.mp4 4MB
  261. Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/01. Localization Steps-4SiMoSTf4rQ.mp4 4MB
  262. Part 06-Module 01-Lesson 01_How to Solve Problems/04. Days Between Dates Intro To Computer Science V2-uJ4bfRfuSjE.mp4 4MB
  263. Part 02-Module 01-Lesson 03_Probability/13. Two Flips 1-1txkcmxk3vU.mp4 4MB
  264. Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/04. Variance Comparison-TGdMG81hXc8.mp4 4MB
  265. Part 02-Module 01-Lesson 03_Probability/23. Even Roll-M3L0a5V4Nf0.mp4 4MB
  266. Part 06-Module 01-Lesson 01_How to Solve Problems/35. Finish daysBetweenDates--70lzVJyS8Y.mp4 4MB
  267. Part 06-Module 01-Lesson 01_How to Solve Problems/01. Nd113 Navigating L1 01 V1-5tdMvdcUF-E.mp4 4MB
  268. Part 02-Module 01-Lesson 08_Probability Distributions/17. Density-4Ri4nhHKtU0.mp4 4MB
  269. Part 02-Module 01-Lesson 05_Programming Probability in Python/01. Learn by Doing-ypPeggeRdTE.mp4 4MB
  270. Part 02-Module 01-Lesson 11_Robot Localization/30. Formal Definition of Probability 1--F2gJXWbN6s.mp4 4MB
  271. Part 02-Module 01-Lesson 11_Robot Localization/07. Generalized Uniform Distribution-nsSvTTA0p8E.mp4 4MB
  272. Part 06-Module 01-Lesson 01_How to Solve Problems/12. Obey the Rules-NZq4vDooURs.mp4 4MB
  273. Part 02-Module 01-Lesson 11_Robot Localization/01. About This Lesson-xEBSzD-fwps.mp4 4MB
  274. Part 03-Module 01-Lesson 04_Matrices and Transformation of State/11. Nd113 C2 L3 09 L Simplifying The Kalman Filter Equations V3-UpC0D-SEtD0.mp4 4MB
  275. Part 02-Module 01-Lesson 06_Bayes' Rule/07. Bayes Rules-CohZnkZMOxE.mp4 4MB
  276. Part 06-Module 01-Lesson 03_The Search Problem/14. Uniform Cost Search 1-nBdlU4jIDqU.mp4 4MB
  277. Part 06-Module 01-Lesson 03_The Search Problem/15. Uniform Cost Search 2-_cSf_1QNaOY.mp4 4MB
  278. Part 03-Module 01-Lesson 04_Matrices and Transformation of State/01. Nd113 C2 L3 01 L Connection To Kalman Filters V1-bwaakDKn4nI.mp4 4MB
  279. Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/03. Nd113 C6 L2 03 L Acceleration Basics V2-ea6b4PZ7YXU.mp4 4MB
  280. Part 02-Module 01-Lesson 06_Bayes' Rule/09. Prior And Posterior-GlmS_jox08s.mp4 4MB
  281. Part 03-Module 01-Lesson 04_Matrices and Transformation of State/38. Nd113 Matrices L3 12 V1-BRLmFGScL_k.mp4 4MB
  282. Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/06. Delta X Over Delta T-AsBTLDf0vQs.mp4 4MB
  283. Part 06-Module 01-Lesson 02_Data Structures/09. Nd113 C5 L2 08 L Keys And Values V1-1FO2KHIJYwY.mp4 4MB
  284. Part 02-Module 01-Lesson 03_Probability/19. One Head 1-lHuZpDkfwq8.mp4 4MB
  285. Part 02-Module 01-Lesson 08_Probability Distributions/24. Summary-w5fm_dJrImE.mp4 4MB
  286. Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/09. Always Moving-EQBQlHvxAQA.mp4 4MB
  287. Part 02-Module 01-Lesson 03_Probability/24. Doubles-On_Guw8wac8.mp4 4MB
  288. Part 06-Module 01-Lesson 01_How to Solve Problems/39. Solution Step IV-H1oVKsgSsi0.mp4 4MB
  289. Part 02-Module 01-Lesson 06_Bayes' Rule/20. Disease Test 1-qDGSvvabN18.mp4 4MB
  290. Part 02-Module 01-Lesson 06_Bayes' Rule/24. Disease Test 5-nUxwwMNKIYo.mp4 4MB
  291. Part 05-Module 01-Lesson 01_C++ Intro to Optimization/10. 04 L C And RAM V1 RENDER V1-60jEbKV1UOI.mp4 4MB
  292. Part 02-Module 01-Lesson 11_Robot Localization/09. Compute Sum-qa9B4r5m8wM.mp4 4MB
  293. Part 06-Module 01-Lesson 03_The Search Problem/07. Graph Search -A8GjRaPJQ5E.mp4 4MB
  294. Part 02-Module 01-Lesson 11_Robot Localization/17. Exact Motion-Iky7rJXQU_4.mp4 4MB
  295. Part 06-Module 01-Lesson 03_The Search Problem/21. Search Comparison 2-Fh5b8xVJhR8.mp4 4MB
  296. Part 02-Module 01-Lesson 04_Conditional Probability/17. Medical Example 8-btGdX0ZpkNU.mp4 3MB
  297. Part 02-Module 01-Lesson 11_Robot Localization/15. Test Sense Function-F8AHaaJVmkw.mp4 3MB
  298. Part 02-Module 01-Lesson 08_Probability Distributions/11. Spinning Probability-aS0c5RrnPxU.mp4 3MB
  299. Part 02-Module 01-Lesson 03_Probability/13. Two Flips 1-yUIz7SgUwJg.mp4 3MB
  300. Part 06-Module 01-Lesson 03_The Search Problem/20. Search Comparison 1-JbJMxp3Lva4.mp4 3MB
  301. Part 02-Module 01-Lesson 11_Robot Localization/34. Cancer Test-OgC5M2XdIac.mp4 3MB
  302. Part 02-Module 01-Lesson 08_Probability Distributions/13. Range Probability-Vohy3kpnBsk.mp4 3MB
  303. Part 02-Module 01-Lesson 03_Probability/09. Loaded Coin 2-dGffszQYzqc.mp4 3MB
  304. Part 02-Module 01-Lesson 06_Bayes' Rule/34. Robot Sensing 8-lmuonrQp_lM.mp4 3MB
  305. Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/06. Evaluate Gaussian-mQtjczyAxQs.mp4 3MB
  306. Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/15. Separated Gaussians 2-0FmTokjoRgo.mp4 3MB
  307. Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/10. Shifting the Mean-HmcurWkA0fQ.mp4 3MB
  308. Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/27. Working With Matrices-nruxu8pr6i8.mp4 3MB
  309. Part 02-Module 01-Lesson 11_Robot Localization/10. Normalize Distribution-Uc_rHR6U70U.mp4 3MB
  310. Part 05-Module 01-Lesson 01_C++ Intro to Optimization/01. Course Introduction-Lwc5oYApdUM.mp4 3MB
  311. Part 06-Module 01-Lesson 01_How to Solve Problems/24. Define Simple nextDay-84mZj582H64.mp4 3MB
  312. Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/23. State Transformation Matrix-DRRuQMYo800.mp4 3MB
  313. Part 07-Module 01-Lesson 02_Accelerometers, Rate Gyros and Integrals/05. 06 L Reasoning About Two Peaks H1 V1-bgPS1GO1EJs.mp4 3MB
  314. Part 02-Module 01-Lesson 08_Probability Distributions/23. Density Properties-U8I0vgojlcY.mp4 3MB
  315. Part 06-Module 01-Lesson 01_How to Solve Problems/08. The First Rule-yh00phtQ-vE.mp4 3MB
  316. Part 02-Module 01-Lesson 11_Robot Localization/06. Uniform Distribution-ysebYA6tDZ4.mp4 3MB
  317. Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/09. Nd113 C6 L3 09 L Trigonometric Ratios V2-wquwvrT9g_U.mp4 3MB
  318. Part 02-Module 01-Lesson 11_Robot Localization/11. pHit and pMiss-wOfAyDvun5w.mp4 3MB
  319. Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/12. Parameter Update-Lwn6FJgyyYI.mp4 3MB
  320. Part 06-Module 01-Lesson 03_The Search Problem/30. Optimistic Heuristic-Q5YJtZc37uc.mp4 3MB
  321. Part 02-Module 01-Lesson 03_Probability/14. Two Flips 2-uhrL5fatt3E.mp4 3MB
  322. Part 02-Module 01-Lesson 03_Probability/16. Two Flips 4-bNoS6LQEFrI.mp4 3MB
  323. Part 06-Module 01-Lesson 02_Data Structures/Exercise.zip 3MB
  324. Part 06-Module 01-Lesson 03_The Search Problem/28. A Search 4-B_rOIxwLzr8.mp4 3MB
  325. Part 02-Module 01-Lesson 06_Bayes' Rule/10. Normalizing 1-5Tbd3_a5Vug.mp4 3MB
  326. Part 02-Module 01-Lesson 04_Conditional Probability/01. Conditional Probability-Fda3U2HGNVM.mp4 3MB
  327. Part 02-Module 01-Lesson 06_Bayes' Rule/02. Bayes' Rule and Robotics-meNSO42JF6I.mp4 3MB
  328. Part 02-Module 01-Lesson 03_Probability/03. Learning Objectives Explained-tAkq3iZLJ-c.mp4 3MB
  329. Part 02-Module 01-Lesson 03_Probability/01. Nd113 C1 L3 01 L Introducing Uncertainty V1-NDOm-0qN8e8.mp4 3MB
  330. Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/08. Lesson Outline-jh7wLGXrm3E.mp4 3MB
  331. Part 02-Module 01-Lesson 06_Bayes' Rule/16. Cancer Probabilities-CMQBKuYjPBM.mp4 3MB
  332. Part 02-Module 01-Lesson 04_Conditional Probability/04. Dependent Events and Conditional Probability-GDWdCH4ilDI.mp4 3MB
  333. Part 02-Module 01-Lesson 06_Bayes' Rule/20. Disease Test 1-05upwXtARuo.mp4 3MB
  334. Part 06-Module 01-Lesson 01_How to Solve Problems/31. Test for Valid Inputs-7c7wYMftRSg.mp4 3MB
  335. Part 06-Module 01-Lesson 01_How to Solve Problems/21. Simple Mechanical Algorithm-wN445aeFEFI.mp4 3MB
  336. Part 06-Module 01-Lesson 04_Implement Route Planner/01. Nd113 Navigating L3 01 V1-NGSaeofqZPc.mp4 3MB
  337. Part 02-Module 01-Lesson 04_Conditional Probability/10. Medical Example 1-mFfbts1lAEo.mp4 3MB
  338. Part 02-Module 01-Lesson 08_Probability Distributions/23. Density Properties-TxNrRo3jNAM.mp4 3MB
  339. Part 06-Module 01-Lesson 01_How to Solve Problems/26. What Should We Do Next-kieducUmiD0.mp4 3MB
  340. Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/04. Nd113 C6 L3 04 L Moving At An Angle V2-2KDq_ZzN3Mk.mp4 3MB
  341. Part 06-Module 01-Lesson 02_Data Structures/04. Nd113 C5 L02 04 L Three Approaches V1 RENDER V1-ptLUqOBlNzU.mp4 3MB
  342. Part 02-Module 01-Lesson 03_Probability/08. Loaded Coin 1-T0EjWSjLGjQ.mp4 3MB
  343. Part 06-Module 01-Lesson 01_How to Solve Problems/02. Nd113 C5 L1 02 L About This Lesson V1-XOSFGuB2mRs.mp4 3MB
  344. Part 02-Module 01-Lesson 11_Robot Localization/11. pHit and pMiss-FnhHQht4vDo.mp4 3MB
  345. Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/19. Outro-K1Pj-cr1nFc.mp4 3MB
  346. Part 02-Module 01-Lesson 06_Bayes' Rule/17. Probability Given Test-41HCYR-NW-w.mp4 3MB
  347. Part 02-Module 01-Lesson 08_Probability Distributions/02. Intro To Probability Distribution 1-gqPjMDVFvNg.mp4 3MB
  348. Part 02-Module 01-Lesson 08_Probability Distributions/17. Density-4FbhjgHIu10.mp4 3MB
  349. Part 06-Module 01-Lesson 03_The Search Problem/32. Sliding Blocks Puzzle 1-jchVkcBg9HQ.mp4 3MB
  350. Part 06-Module 01-Lesson 01_How to Solve Problems/06. First Step-7WNYd36EDh4.mp4 3MB
  351. Part 02-Module 01-Lesson 04_Conditional Probability/11. Medical Example 2-VLLG0rYC7To.mp4 2MB
  352. Part 02-Module 01-Lesson 11_Robot Localization/20. Inexact Motion 2-gZbPZLFKS68.mp4 2MB
  353. Part 06-Module 01-Lesson 02_Data Structures/10. Nd113 C5 L02 09 L Adding Labels V2-VZcXBAHs5ts.mp4 2MB
  354. Part 01-Module 01-Lesson 01_Introduction/08. Intro to Self-Driving Cars Readiness Introduction-sWKwL3NBa_E.mp4 2MB
  355. Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/04. Nd113 C6 L3 045 L Moving At An Angle Part2 V2-iI6zCp0RegM.mp4 2MB
  356. Part 02-Module 01-Lesson 11_Robot Localization/24. Move Twice-sKiumVTdpgY.mp4 2MB
  357. Part 02-Module 01-Lesson 04_Conditional Probability/14. Medical Example 5-ys9w-NNKCcU.mp4 2MB
  358. Part 02-Module 01-Lesson 06_Bayes' Rule/28. Robot Sensing 2-t22oDruXhuo.mp4 2MB
  359. Part 02-Module 01-Lesson 11_Robot Localization/14. Normalized Sense Function-GqWszyHTYas.mp4 2MB
  360. Part 05-Module 01-Lesson 02_C++ Optimization Practice/19. Nd113 C L2 01 V1-h_P7ceb5ido.mp4 2MB
  361. Part 02-Module 01-Lesson 04_Conditional Probability/13. Medical Example 4-udduksMWMB4.mp4 2MB
  362. Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/05. Nd113 C6 L3 05 L Moving At 53 Degrees V2-VmoknN6xLKs.mp4 2MB
  363. Part 02-Module 01-Lesson 09_Programming Probability Distributions/01. Nd113 Bayesian L9 01 V1-dWLZSQiN5vI.mp4 2MB
  364. Part 06-Module 01-Lesson 01_How to Solve Problems/13. Next Step-3XiisY0IPPU.mp4 2MB
  365. Part 02-Module 01-Lesson 03_Probability/20. One Head 2-JHx3ucNS9f4.mp4 2MB
  366. Part 01-Module 02-Lesson 02_Get Help with Your Account/img.zip 2MB
  367. Part 06-Module 01-Lesson 01_How to Solve Problems/31. Test for Valid Inputs-6ZV_SjrnvJQ.mp4 2MB
  368. Part 02-Module 01-Lesson 08_Probability Distributions/15. Range Probability 3-q9698qIrPT0.mp4 2MB
  369. Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/06. Evaluate Gaussian-4-0nBfsD4jo.mp4 2MB
  370. Part 02-Module 01-Lesson 06_Bayes' Rule/10. Normalizing 1-9SbUxcyDTaQ.mp4 2MB
  371. Part 02-Module 01-Lesson 08_Probability Distributions/01. Probability Distribution-Srt0yZSCrbY.mp4 2MB
  372. Part 04-Module 01-Lesson 01_C++ Getting Started/17. Function Signatures 3 V1-U3QAFb3AS1M.mp4 2MB
  373. Part 02-Module 01-Lesson 12_Histogram Filter in Python/01. Project Overview-uaWZNKGTtgM.mp4 2MB
  374. Part 02-Module 01-Lesson 06_Bayes' Rule/19. Normalizing Probability-V_Gqm42WodI.mp4 2MB
  375. Part 02-Module 01-Lesson 03_Probability/17. Two Flips 5-G28YyiGFGWA.mp4 2MB
  376. Part 02-Module 01-Lesson 11_Robot Localization/22. Inexact Move Function-68Kao9dkIKA.mp4 2MB
  377. Part 02-Module 01-Lesson 04_Conditional Probability/12. Medical Example 3-Rf6WfB_1EJQ.mp4 2MB
  378. Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/11. Trigonometry And Vehicle Motion-WY3T-9GHI_0.mp4 2MB
  379. Part 02-Module 01-Lesson 06_Bayes' Rule/08. Cancer Test-FnNveASivMA.mp4 2MB
  380. Part 02-Module 01-Lesson 03_Probability/21. One Of Three 1-rxfHfjy9Mm4.mp4 2MB
  381. Part 02-Module 01-Lesson 06_Bayes' Rule/13. Total Probability-fAaE5K9OZJc.mp4 2MB
  382. Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/03. Motion Models-qSdbn_PVQnk.mp4 2MB
  383. Part 03-Module 01-Lesson 04_Matrices and Transformation of State/05. Another Prediction-cUKlYjQEQGY.mp4 2MB
  384. Part 02-Module 01-Lesson 04_Conditional Probability/17. Medical Example 8-7k5oAaZamCA.mp4 2MB
  385. Part 02-Module 01-Lesson 06_Bayes' Rule/28. Robot Sensing 2-aBBmlnd7okQ.mp4 2MB
  386. Part 06-Module 01-Lesson 03_The Search Problem/13. Uniform Cost Search-oPe45CJ_o0k.mp4 2MB
  387. Part 02-Module 01-Lesson 11_Robot Localization/24. Move Twice-oqlgQa1IdcY.mp4 2MB
  388. Part 02-Module 01-Lesson 11_Robot Localization/08. Probability After Sense-dEiQObhi2J4.mp4 2MB
  389. Part 06-Module 01-Lesson 03_The Search Problem/10. Breath First Search 3--ed_C9x8rWs.mp4 2MB
  390. Part 06-Module 01-Lesson 03_The Search Problem/08. Breath First Search 1-70yXCOfKMPA.mp4 2MB
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  392. Part 02-Module 01-Lesson 11_Robot Localization/25. Move 1000-nYt9b_pNvEE.mp4 2MB
  393. Part 02-Module 01-Lesson 11_Robot Localization/27. Sense and Move 2--wT7h9Gdm_8.mp4 2MB
  394. Part 02-Module 01-Lesson 11_Robot Localization/32. Formal Definition of Probability 3-TF6AWXSlOcY.mp4 2MB
  395. Part 02-Module 01-Lesson 04_Conditional Probability/02. Introduction To Conditional Probability--_j5NZN2Tfs.mp4 2MB
  396. Part 06-Module 01-Lesson 03_The Search Problem/25. A Search 1-yMUqkCzFXts.mp4 2MB
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  400. Part 02-Module 01-Lesson 06_Bayes' Rule/31. Robot Sensing 5-PGG9agooCvw.mp4 2MB
  401. Part 07-Module 01-Lesson 03_Two Dimensional Robot Motion and Trigonometry/08. Nd113 C6 L3 08 L Opposite Adjacent Hypotenuse V2-hJ-7qj9iHWo.mp4 2MB
  402. Part 02-Module 01-Lesson 08_Probability Distributions/20. Changing Density 2-96Cao3VKUok.mp4 2MB
  403. Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/08. Measurement and Motion 1-EyE5vOSxPdI.mp4 2MB
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  405. Part 02-Module 01-Lesson 04_Conditional Probability/13. Medical Example 4-pL8Bf6tck_A.mp4 2MB
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  407. Part 02-Module 01-Lesson 04_Conditional Probability/15. Medical Example 6--lC9xztr4zA.mp4 2MB
  408. Part 03-Module 01-Lesson 04_Matrices and Transformation of State/05. Another Prediction-JNDsm_Gzxi0.mp4 2MB
  409. Part 02-Module 01-Lesson 06_Bayes' Rule/img.zip 2MB
  410. Part 04-Module 01-Lesson 01_C++ Getting Started/22. Nd113 C Basics Last Video V1-dtu-RXovl0U.mp4 2MB
  411. Part 02-Module 01-Lesson 08_Probability Distributions/22. Calculate Density-oZDLtTdhDy4.mp4 2MB
  412. Part 02-Module 01-Lesson 06_Bayes' Rule/22. Disease Test 3-a61GPGk-Qy4.mp4 2MB
  413. Part 03-Module 01-Lesson 05_Implement Matrix Class/06. Nd113 Story 3 V1-Wa1CFHf3k54.mp4 2MB
  414. Part 06-Module 01-Lesson 02_Data Structures/05. Nd113 C5 L02 05 L Representing A Single Ticket V1 RENDER V1-wXTASv5R-VQ.mp4 2MB
  415. Part 06-Module 01-Lesson 03_The Search Problem/11. Breath First Search 4-WOANyG8rf0k.mp4 2MB
  416. Part 02-Module 01-Lesson 11_Robot Localization/32. Formal Definition of Probability 3-oDPbdGXH5nE.mp4 2MB
  417. Part 02-Module 01-Lesson 08_Probability Distributions/18. Birth Time Density-U2tkinJKn28.mp4 2MB
  418. Part 02-Module 01-Lesson 11_Robot Localization/12. Sum of Probabilities-z0oijOqN8K8.mp4 2MB
  419. Part 02-Module 01-Lesson 06_Bayes' Rule/32. Robot Sensing 6-hXyXlk0gYzk.mp4 2MB
  420. Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/05. Preferred Gaussian-sBsju-6nQWI.mp4 2MB
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  422. Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/img.zip 2MB
  423. Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/05. A Different Model-Mh0g-SMpMI4.mp4 2MB
  424. Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/07. Maximize Gaussian-2cD8T65E-jM.mp4 2MB
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  429. Part 06-Module 01-Lesson 01_How to Solve Problems/13. Next Step-1DVj00gpDOk.mp4 1MB
  430. Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/09. Measurement and Motion 2-1X8Tu6TmKhY.mp4 1MB
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  442. Part 02-Module 01-Lesson 04_Conditional Probability/16. Medical Example 7-jPspIs-fNxg.mp4 1MB
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  448. Part 08-Module 01-Lesson 02_Traffic Light Classifier/img.zip 1MB
  449. Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/18. Predict Function-DV2cX9W0tT8.mp4 1MB
  450. Part 04-Module 01-Lesson 05_Python and C++ Speed/01. Introduction-JklGKdn3_go.mp4 1MB
  451. Part 06-Module 01-Lesson 03_The Search Problem/img.zip 1MB
  452. Part 02-Module 01-Lesson 08_Probability Distributions/15. Range Probability 3-ub9oMx2x-5c.mp4 1MB
  453. Part 02-Module 01-Lesson 08_Probability Distributions/21. Check Density-RJFD5ok1ZIc.mp4 1MB
  454. Part 03-Module 01-Lesson 03_State and Object-Oriented Programming/02. Intro To State-zfilXYrW4Gk.mp4 1MB
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  456. Part 06-Module 01-Lesson 03_The Search Problem/26. A Search 2-gYKBDz2kQJ8.mp4 1MB
  457. Part 06-Module 01-Lesson 03_The Search Problem/09. Breath First Search 2-1VykygxreWg.mp4 1MB
  458. Part 06-Module 01-Lesson 04_Implement Route Planner/04. Nd113 Navigating Last Video V1-yJfKK3Mg-BE.mp4 1MB
  459. Part 02-Module 01-Lesson 06_Bayes' Rule/30. Robot Sensing 4-d_fbDqAGVdE.mp4 1MB
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  461. Part 06-Module 01-Lesson 03_The Search Problem/16. Uniform Cost Search 3-_LtVDVBskhk.mp4 1MB
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  463. Part 02-Module 01-Lesson 03_Probability/20. One Head 2-64EjAbqrtmo.mp4 1MB
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  471. Part 02-Module 01-Lesson 11_Robot Localization/06. Uniform Distribution-_sAkAALHyEg.mp4 902KB
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  474. Part 02-Module 01-Lesson 08_Probability Distributions/12. Stops Nowhere-Ua8DCPx8lhk.mp4 825KB
  475. Part 02-Module 01-Lesson 08_Probability Distributions/19. Changing Density-dSyPBL0jozI.mp4 821KB
  476. Part 02-Module 01-Lesson 11_Robot Localization/31. Formal Definition of Probability 2-PE-k3PGXeLY.mp4 812KB
  477. Part 02-Module 01-Lesson 03_Probability/09. Loaded Coin 2-Y7tnbth-gag.mp4 805KB
  478. Part 02-Module 01-Lesson 04_Conditional Probability/16. Medical Example 7-cw_zgQbAWNU.mp4 804KB
  479. Part 02-Module 01-Lesson 03_Probability/07. Fair Coin-fSKL742j-zk.mp4 798KB
  480. Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/17. Gaussian Motion-xNPEjY4dsds.mp4 794KB
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  482. Part 02-Module 01-Lesson 06_Bayes' Rule/23. Disease Test 4-UERKMwmkAsM.mp4 753KB
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  484. Part 02-Module 01-Lesson 06_Bayes' Rule/21. Disease Test 2-GsneDVJB75E.mp4 748KB
  485. Part 02-Module 01-Lesson 04_Conditional Probability/10. Medical Example 1-E1ph6NP3_v4.mp4 747KB
  486. Part 03-Module 01-Lesson 04_Matrices and Transformation of State/img.zip 734KB
  487. Part 02-Module 01-Lesson 11_Robot Localization/30. Formal Definition of Probability 1-OQ2JS2wQzrs.mp4 717KB
  488. Part 02-Module 01-Lesson 08_Probability Distributions/11. Spinning Probability-VDQK8gnETqw.mp4 712KB
  489. Part 02-Module 01-Lesson 04_Conditional Probability/img.zip 705KB
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  493. Part 02-Module 01-Lesson 07_Programming Bayes' Rule and World Representations/Bayes.zip 668KB
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  496. Part 06-Module 01-Lesson 01_How to Solve Problems/img.zip 659KB
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  498. Part 02-Module 01-Lesson 04_Conditional Probability/15. Medical Example 6-iyE5h48qPFQ.mp4 640KB
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  502. Part 02-Module 01-Lesson 11_Robot Localization/31. Formal Definition of Probability 2-uw51WQDqXAI.mp4 541KB
  503. Part 02-Module 01-Lesson 04_Conditional Probability/14. Medical Example 5-fqt7NIvMB0s.mp4 529KB
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  523. Part 02-Module 01-Lesson 09_Programming Probability Distributions/workspace_archive.tar 220KB
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  525. Part 05-Module 01-Lesson 01_C++ Intro to Optimization/Demo, codes, img.zip 188KB
  526. Part 04-Module 01-Lesson 06_Translate Python to C++/img.zip 179KB
  527. Part 05-Module 01-Lesson 03_Project Optimize Histogram Filter/Project Code.zip 120KB
  528. Part 07-Module 01-Lesson 04_Reconstructing Trajectories from Sensor Data/Reconstructing Trajectories.zip 117KB
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