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[] Coursera - Machine Learning Engineering for Production (MLOps) Specialization

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文件列表

  1. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 01 - Specialization overview.mp4 40MB
  2. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 01 - Specialization overview.mp4 40MB
  3. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 06 - Key challenges.mp4 26MB
  4. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 04 - Case study speech recognition.mp4 24MB
  5. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 39 - Diligence on feasibility and value.mp4 23MB
  6. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 32 - Raising HLP.mp4 22MB
  7. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 33 - Obtaining data.mp4 21MB
  8. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 22 - Pruning.mp4 20MB
  9. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 02 - Welcome.mp4 20MB
  10. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 15 - Feature Engineering Techniques.mp4 20MB
  11. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 17 - Skewed datastes.mp4 20MB
  12. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 07 - Deployment patterns.mp4 20MB
  13. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 28 - Major types of data problems.mp4 20MB
  14. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 31 - Human level performance (HLP).mp4 19MB
  15. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 08 - Monitoring.mp4 18MB
  16. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 23 - Adding features.mp4 18MB
  17. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 03 - Overview.mp4 18MB
  18. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 17 - Preprocessing Data at Scale.mp4 18MB
  19. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 18 - TensorFlow Transform.mp4 18MB
  20. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 21 - Data augmentation.mp4 16MB
  21. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 09 - Pipeline monitoring.mp4 16MB
  22. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 30 - Improving label consistency.mp4 16MB
  23. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 02 - Course Overview.mp4 16MB
  24. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 13 - Establish a baseline.mp4 16MB
  25. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 23 - Distributed Training.mp4 16MB
  26. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 24 - High-Performance Ingestion.mp4 16MB
  27. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 18 - Performance auditing.mp4 16MB
  28. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 29 - Model Performance Analysis.mp4 16MB
  29. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 29 - Small data and label consistency.mp4 15MB
  30. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 27 - More label ambiguity examples.mp4 15MB
  31. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 22 - Can adding data hurt.mp4 15MB
  32. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 10 - Process Feedback and Human Labeling.mp4 15MB
  33. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 11 - Curse of Dimensionality.mp4 14MB
  34. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 15 - Error analysis example.mp4 14MB
  35. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 38 - Scoping process.mp4 13MB
  36. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 40 - Diligence on value.mp4 13MB
  37. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 26 - Introduction to ML Metadata.mp4 13MB
  38. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 42 - Model Interpretation Methods.mp4 13MB
  39. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 37 - Time Series.mp4 13MB
  40. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 05 - Importance of Data.mp4 13MB
  41. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 11 - Detecting Data Issues.mp4 12MB
  42. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 08 - AutoML on the Cloud.mp4 12MB
  43. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 14 - Preprocessing Operations.mp4 12MB
  44. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 41 - Explainable AI.mp4 12MB
  45. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 35 - Adversarial Attack Demo.mp4 11MB
  46. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 14 - Tips for getting started.mp4 11MB
  47. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 06 - Example Application Suggesting Runs.mp4 11MB
  48. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 30 - Feature Stores.mp4 11MB
  49. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 17 - Other Techniques.mp4 11MB
  50. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 36 - Balanced train dev test splits.mp4 11MB
  51. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 34 - Data pipeline.mp4 11MB
  52. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 25 - Data Journey.mp4 11MB
  53. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 01 - Course Overview.mp4 10MB
  54. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 19 - Hello World with tf.Transform.mp4 10MB
  55. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 51 - AI Explanations.mp4 10MB
  56. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 16 - Prioritizing what to work on.mp4 10MB
  57. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 47 - Shapley Values.mp4 10MB
  58. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 04 - ML Pipelines.mp4 10MB
  59. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 26 - Why is data definition hard.mp4 10MB
  60. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 13 - Introduction to Preprocessing.mp4 10MB
  61. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 10 - Modeling overview.mp4 9MB
  62. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 03 - Keras Autotuner Demo.mp4 9MB
  63. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 03 - Steps of an ML Project.mp4 9MB
  64. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 11 - Key challenges.mp4 9MB
  65. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 24 - Experiment tracking.mp4 9MB
  66. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 25 - From big data to good data.mp4 9MB
  67. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 12 - TensorFlow Data Validation.mp4 9MB
  68. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 20 - Post Training Quantization.mp4 9MB
  69. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 37 - What is scoping.mp4 8MB
  70. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 39 - Measuring Fairness.mp4 8MB
  71. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 22 - Filter Methods.mp4 8MB
  72. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 04 - Intro to AutoML.mp4 8MB
  73. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 19 - Data-centric AI development.mp4 8MB
  74. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 24 - Embedded Methods.mp4 7MB
  75. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 45 - Partial Dependence Plots.mp4 7MB
  76. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 23 - Wrapper Methods.mp4 7MB
  77. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 35 - Weak Supervision.mp4 7MB
  78. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 06 - Search Strategies.mp4 7MB
  79. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 02 - Hyperparameter Tuning.mp4 7MB
  80. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 33 - Semi-supervised Learning.mp4 6MB
  81. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 05 - Course outline.mp4 6MB
  82. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 20 - Feature Spaces.mp4 6MB
  83. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 21 - Quantization Aware Training.mp4 6MB
  84. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 37 - Model Remediation.mp4 6MB
  85. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 27 - ML Metadata in Action.mp4 6MB
  86. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 36 - Data Augmentation.mp4 6MB
  87. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 28 - Schema Development.mp4 6MB
  88. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 34 - Active Learning.mp4 6MB
  89. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 31 - Data Warehouse.mp4 6MB
  90. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 21 - Feature Selection.mp4 6MB
  91. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 31 - TFMA in Practice.mp4 6MB
  92. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 07 - Measuring AutoML Efficacy.mp4 5MB
  93. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 16 - Feature Crosses.mp4 5MB
  94. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 38 - Fairness.mp4 5MB
  95. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 29 - Schema Environments.mp4 5MB
  96. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 41 - Milestones and resourcing.mp4 5MB
  97. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 32 - Data Lakes.mp4 5MB
  98. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 32 - Model Debugging Overview.mp4 5MB
  99. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 26 - Teacher and Student Networks.mp4 4MB
  100. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 38 - Sensors and Signals.mp4 4MB
  101. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 09 - Assignment Setup.mp4 3MB
  102. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 36 - Residual Analysis.mp4 3MB
  103. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 05 - Understanding Search Spaces.mp4 3MB
  104. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 44 - Model Agnostic Methods.mp4 2MB
  105. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 50 - LIME.mp4 2MB
  106. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 33 - Benchmark Models.mp4 2MB
  107. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 06 - Key challenges.en.srt 23KB
  108. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 18 - TensorFlow Transform.en.srt 21KB
  109. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 22 - Pruning.en.srt 19KB
  110. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 33 - Obtaining data.en.srt 19KB
  111. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 03 - Overview.en.srt 17KB
  112. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 08 - Monitoring.en.srt 17KB
  113. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 17 - Skewed datastes.en.srt 17KB
  114. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 07 - Deployment patterns.en.srt 16KB
  115. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 04 - Case study speech recognition.en.srt 16KB
  116. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 17 - Preprocessing Data at Scale.en.srt 16KB
  117. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 15 - Feature Engineering Techniques.en.srt 15KB
  118. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 28 - Major types of data problems.en.srt 14KB
  119. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 21 - Data augmentation.en.srt 14KB
  120. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 30 - Improving label consistency.en.srt 14KB
  121. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 23 - Distributed Training.en.srt 14KB
  122. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 02 - Welcome.en.srt 14KB
  123. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 32 - Raising HLP.en.srt 13KB
  124. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 31 - Human level performance (HLP).en.srt 13KB
  125. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 08 - AutoML on the Cloud.en.srt 13KB
  126. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 09 - Pipeline monitoring.en.srt 13KB
  127. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 27 - More label ambiguity examples.en.srt 13KB
  128. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 13 - Establish a baseline.en.srt 13KB
  129. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 11 - Curse of Dimensionality.en.srt 13KB
  130. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 23 - Adding features.en.srt 11KB
  131. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 37 - Time Series.en.srt 11KB
  132. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 15 - Error analysis example.en.srt 11KB
  133. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 01 - Specialization overview.en.srt 11KB
  134. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 40 - Diligence on value.en.srt 11KB
  135. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 05 - Importance of Data.en.srt 11KB
  136. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 11 - Detecting Data Issues.en.srt 11KB
  137. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 14 - Tips for getting started.en.srt 10KB
  138. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 26 - Introduction to ML Metadata.en.srt 10KB
  139. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 18 - Performance auditing.en.srt 10KB
  140. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 41 - Explainable AI.en.srt 10KB
  141. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 04 - ML Pipelines.en.srt 10KB
  142. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 22 - Filter Methods.en.srt 10KB
  143. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 25 - Data Journey.en.srt 10KB
  144. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 14 - Preprocessing Operations.en.srt 9KB
  145. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 39 - Measuring Fairness.en.srt 9KB
  146. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 19 - Hello World with tf.Transform.en.srt 9KB
  147. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 47 - Shapley Values.en.srt 9KB
  148. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 17 - Other Techniques.en.srt 9KB
  149. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 16 - Prioritizing what to work on.en.srt 9KB
  150. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 38 - Scoping process.en.srt 9KB
  151. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 12 - TensorFlow Data Validation.en.srt 9KB
  152. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 34 - Data pipeline.en.srt 9KB
  153. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 30 - Feature Stores.en.srt 9KB
  154. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 51 - AI Explanations.en.srt 8KB
  155. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 23 - Wrapper Methods.en.srt 8KB
  156. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 24 - Experiment tracking.en.srt 7KB
  157. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 03 - Keras Autotuner Demo.en.srt 7KB
  158. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 26 - Why is data definition hard.en.srt 7KB
  159. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 13 - Introduction to Preprocessing.en.srt 7KB
  160. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 22 - Can adding data hurt.en.srt 7KB
  161. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 34 - Active Learning.en.srt 7KB
  162. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 04 - Intro to AutoML.en.srt 7KB
  163. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 45 - Partial Dependence Plots.en.srt 7KB
  164. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 24 - Embedded Methods.en.srt 7KB
  165. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 28 - Schema Development.en.srt 7KB
  166. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 33 - Semi-supervised Learning.en.srt 7KB
  167. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 38 - Fairness.en.srt 7KB
  168. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 27 - ML Metadata in Action.en.srt 7KB
  169. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 35 - Weak Supervision.en.srt 7KB
  170. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 11 - Key challenges.en.srt 7KB
  171. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 20 - Feature Spaces.en.srt 7KB
  172. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 03 - Steps of an ML Project.en.srt 6KB
  173. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 37 - Model Remediation.en.srt 6KB
  174. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 29 - Schema Environments.en.srt 6KB
  175. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 06 - Search Strategies.en.srt 6KB
  176. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 31 - TFMA in Practice.en.srt 6KB
  177. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 21 - Feature Selection.en.srt 6KB
  178. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 36 - Data Augmentation.en.srt 6KB
  179. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 02 - Hyperparameter Tuning.en.srt 6KB
  180. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 31 - Data Warehouse.en.srt 5KB
  181. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 36 - Balanced train dev test splits.en.srt 5KB
  182. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 16 - Feature Crosses.en.srt 5KB
  183. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 35 - Adversarial Attack Demo.en.srt 5KB
  184. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 32 - Model Debugging Overview.en.srt 5KB
  185. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 07 - Measuring AutoML Efficacy.en.srt 5KB
  186. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 05 - Course outline.en.srt 5KB
  187. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 10 - Modeling overview.en.srt 5KB
  188. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 02 - Course Overview.en.srt 4KB
  189. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 25 - From big data to good data.en.srt 4KB
  190. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 41 - Milestones and resourcing.en.srt 4KB
  191. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 19 - Data-centric AI development.en.srt 4KB
  192. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 01 - Course Overview.en.srt 4KB
  193. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 38 - Sensors and Signals.en.srt 4KB
  194. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 32 - Data Lakes.en.srt 4KB
  195. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 37 - What is scoping.en.srt 3KB
  196. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 36 - Residual Analysis.en.srt 3KB
  197. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 09 - Assignment Setup.en.srt 3KB
  198. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 44 - Model Agnostic Methods.en.srt 2KB
  199. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 50 - LIME.en.srt 2KB
  200. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 33 - Benchmark Models.en.srt 2KB
  201. [CourseClub.Me].url 122B
  202. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 12 - Why low average error isn't good enough.en.srt 0B
  203. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 12 - Why low average error isn't good enough.mp4 0B
  204. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 20 - A useful picture of data augmentation.en.srt 0B
  205. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 20 - A useful picture of data augmentation.mp4 0B
  206. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 29 - Small data and label consistency.en.srt 0B
  207. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 35 - Meta-data, data provenance and lineage.en.srt 0B
  208. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 35 - Meta-data, data provenance and lineage.mp4 0B
  209. 1. Introduction to Machine Learning in Production/introduction-to-machine-learning-in-production - 39 - Diligence on feasibility and value.en.srt 0B
  210. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 06 - Example Application Suggesting Runs.en.srt 0B
  211. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 07 - Responsible Data Security, Privacy & Fairness.mp4 0B
  212. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 08 - Case Study Degraded Model Performance.en.srt 0B
  213. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 08 - Case Study Degraded Model Performance.mp4 0B
  214. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 09 - Data and Concept Change in Production ML.en.srt 0B
  215. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 09 - Data and Concept Change in Production ML.mp4 0B
  216. 2. Machine Learning Data Lifecycle in Production/machine-learning-data-lifecycle-in-production - 10 - Process Feedback and Human Labeling.en.srt 0B
  217. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 05 - Understanding Search Spaces.en.srt 0B
  218. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 10 - Dimensionality Effect on Performance.mp4 0B
  219. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 12 - Curse of Dimensionality an Example.en.srt 0B
  220. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 12 - Curse of Dimensionality an Example.mp4 0B
  221. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 13 - Manual Dimensionality Reduction.en.srt 0B
  222. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 13 - Manual Dimensionality Reduction.mp4 0B
  223. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 15 - Algorithmic Dimensionality Reduction.mp4 0B
  224. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 16 - Principal Components Analysis.en.srt 0B
  225. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 16 - Principal Components Analysis.mp4 0B
  226. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 18 - Mobile, IoT, and Similar Use Cases.en.srt 0B
  227. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 18 - Mobile, IoT, and Similar Use Cases.mp4 0B
  228. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 19 - Benefits and Process of Quantization.mp4 0B
  229. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 20 - Post Training Quantization.en.srt 0B
  230. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 21 - Quantization Aware Training.en.srt 0B
  231. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 24 - High-Performance Ingestion.en.srt 0B
  232. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 26 - Teacher and Student Networks.en.srt 0B
  233. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 27 - Knowledge Distillation Techniques.en.srt 0B
  234. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 27 - Knowledge Distillation Techniques.mp4 0B
  235. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 29 - Model Performance Analysis.en.srt 0B
  236. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 40 - Continuous Evaluation and Monitoring.mp4 0B
  237. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 42 - Model Interpretation Methods.en.srt 0B
  238. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 43 - Intrinsically Interpretable Models.en.srt 0B
  239. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 43 - Intrinsically Interpretable Models.mp4 0B
  240. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 46 - Permutation Feature Importance.en.srt 0B
  241. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 46 - Permutation Feature Importance.mp4 0B
  242. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 48 - SHapley Additive exPlanations (SHAP).mp4 0B
  243. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 49 - Testing Concept Activation Vectors.en.srt 0B
  244. 3. Machine Learning Modeling Pipelines in Production/machine-learning-modeling-pipelines-in-production - 49 - Testing Concept Activation Vectors.mp4 0B