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[Coursera] Machine Learning on Google Cloud Specialization - 5 course series

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Coursera Machine Learning on Google Cloud Specialization - 5 course series

文件列表
  1. launching-machine-learning/02_get-to-know-your-data-improve-data-through-exploratory-data-analysis/02_improve-data-through-exploratory-data-analysis/02_04_lab-demo-improve-the-quality-of-your-data.mp480.78MB
  2. art-science-ml/01_introduction onehack.us/01_introduction/01_01_course-introduction.mp42.11MB
  3. art-science-ml/02_understanding-the-ml-enterprise-workflow/01_understanding-the-ml-enterprise-workflow-module-introduction-and-overview/01_01_introduction.mp4367.29KB
  4. art-science-ml/02_understanding-the-ml-enterprise-workflow/01_understanding-the-ml-enterprise-workflow-module-introduction-and-overview/01_02_overview-of-an-ml-enterprise-workflow.mp47.13MB
  5. art-science-ml/03_data-in-the-enterprise/01_data-in-the-enterprise-module-introduction/01_01_introduction.mp4435.34KB
  6. art-science-ml/03_data-in-the-enterprise/02_tools-for-data-management-and-governance/02_01_feature-store.mp49.77MB
  7. art-science-ml/03_data-in-the-enterprise/02_tools-for-data-management-and-governance/02_02_data-catalog.mp43.68MB
  8. art-science-ml/03_data-in-the-enterprise/03_pre-ga-tools/03_01_dataplex.mp46.04MB
  9. art-science-ml/03_data-in-the-enterprise/03_pre-ga-tools/03_02_analytics-hub.mp45.49MB
  10. art-science-ml/03_data-in-the-enterprise/04_data-preprocessing-options/04_01_data-preprocessing-options.mp44.51MB
  11. art-science-ml/03_data-in-the-enterprise/04_data-preprocessing-options/04_02_dataprep.mp48.94MB
  12. art-science-ml/03_data-in-the-enterprise/04_data-preprocessing-options/04_03_lab-intro-exploring-and-creating-an-ecommerce-analytics-pipeline-with-dataprep.mp4263.95KB
  13. art-science-ml/03_data-in-the-enterprise/04_data-preprocessing-options/04_04_coursera-getting-started-with-google-cloud-and-qwiklabs.mp410.45MB
  14. art-science-ml/04_science-of-machine-learning-and-custom-training/01_science-of-machine-learning-and-custom-training-module-introduction/01_01_introduction.mp4470.43KB
  15. art-science-ml/04_science-of-machine-learning-and-custom-training/02_the-art-and-science-of-ml/02_01_the-art-and-science-of-machine-learning.mp49.43MB
  16. art-science-ml/04_science-of-machine-learning-and-custom-training/02_the-art-and-science-of-ml/02_02_make-training-faster.mp49.92MB
  17. art-science-ml/04_science-of-machine-learning-and-custom-training/02_the-art-and-science-of-ml/02_03_when-to-use-custom-training.mp47.22MB
  18. art-science-ml/04_science-of-machine-learning-and-custom-training/02_the-art-and-science-of-ml/02_04_training-requirements-and-dependencies-part-1.mp411.8MB
  19. art-science-ml/04_science-of-machine-learning-and-custom-training/02_the-art-and-science-of-ml/02_05_training-requirements-and-dependencies-part-2.mp44.6MB
  20. art-science-ml/04_science-of-machine-learning-and-custom-training/02_the-art-and-science-of-ml/02_06_training-custom-ml-models-using-vertex-ai.mp43.52MB
  21. art-science-ml/05_vertex-vizier-hyperparameter-tuning/01_vertex-vizier-hyperparameter-tuning-module-introduction/01_01_introduction.mp4323.4KB
  22. art-science-ml/05_vertex-vizier-hyperparameter-tuning/02_hyperparameter-tuning/02_01_vertex-ai-vizier-hyperparameter-tuning.mp423.31MB
  23. art-science-ml/05_vertex-vizier-hyperparameter-tuning/02_hyperparameter-tuning/02_02_lab-intro-vertex-ai-hyperparameter-tuning.mp4491.9KB
  24. art-science-ml/06_prediction-and-model-monitoring-using-vertex-ai/01_prediction-and-model-monitoring-using-vertex-ai-module-introduction/01_01_introduction.mp4850.97KB
  25. art-science-ml/06_prediction-and-model-monitoring-using-vertex-ai/02_predictions-and-model-monitoring/02_01_predictions-using-vertex-ai.mp49.93MB
  26. art-science-ml/06_prediction-and-model-monitoring-using-vertex-ai/02_predictions-and-model-monitoring/02_02_model-management-using-vertex-ai.mp411.42MB
  27. art-science-ml/06_prediction-and-model-monitoring-using-vertex-ai/02_predictions-and-model-monitoring/02_03_lab-intro-monitoring-vertex-ai-models.mp4467.38KB
  28. art-science-ml/07_vertex-ai-pipelines/01_vertex-ai-pipelines-module-introduction/01_01_introduction.mp4351.33KB
  29. art-science-ml/07_vertex-ai-pipelines/02_prediction-using-vertex-ai-pipelines/02_01_prediction-using-vertex-ai-pipelines.mp45.37MB
  30. art-science-ml/07_vertex-ai-pipelines/02_prediction-using-vertex-ai-pipelines/02_02_lab-intro-vertex-ai-pipelines.mp41.03MB
  31. art-science-ml/08_best-practices-for-ml-development/01_best-practices-for-ml-development-on-vertex-ai-module-introduction/01_01_introduction.mp4440.83KB
  32. art-science-ml/08_best-practices-for-ml-development/02_best-practices-for-ml-development-on-vertex-ai/02_01_best-practices-for-model-deployment-and-serving.mp43.33MB
  33. art-science-ml/08_best-practices-for-ml-development/02_best-practices-for-ml-development-on-vertex-ai/02_02_best-practices-for-model-monitoring.mp43.94MB
  34. art-science-ml/08_best-practices-for-ml-development/02_best-practices-for-ml-development-on-vertex-ai/02_03_vertex-ai-pipeline-best-practices.mp45.26MB
  35. art-science-ml/08_best-practices-for-ml-development/02_best-practices-for-ml-development-on-vertex-ai/02_04_best-practices-for-artifact-organization.mp42.74MB
  36. art-science-ml/10_series-summary onehack.us/01_course-series-summary/01_01_series-summary.mp43.57MB
  37. feature-engineering/01_module-0-introduction/01_introduction-to-course/01_01_course-introduction.mp41.04MB
  38. feature-engineering/02_module-1-introduction-to-vertex-ai-feature-store/01_introduction-to-vertex-ai-feature-store-module-introduction/01_01_introduction.mp4849.55KB
  39. feature-engineering/02_module-1-introduction-to-vertex-ai-feature-store/02_feature-store-benefits/02_01_feature-store-benefits.mp47.34MB
  40. feature-engineering/02_module-1-introduction-to-vertex-ai-feature-store/03_feature-store-terminology-and-concepts/03_01_feature-store-terminology-and-concepts.mp410.42MB
  41. feature-engineering/02_module-1-introduction-to-vertex-ai-feature-store/04_the-feature-store-data-model/04_01_the-feature-store-data-model.mp42.02MB
  42. feature-engineering/02_module-1-introduction-to-vertex-ai-feature-store/05_creating-a-feature-store/05_01_creating-a-feature-store.mp414.41MB
  43. feature-engineering/02_module-1-introduction-to-vertex-ai-feature-store/06_serving-features-batch-and-online/06_01_serving-features-batch-and-online.mp48.84MB
  44. feature-engineering/03_module-2-raw-data-to-features/01_raw-data-to-features-module-introduction/01_01_introduction.mp4372.39KB
  45. feature-engineering/03_module-2-raw-data-to-features/02_overview/02_01_overview-of-feature-engineering.mp416.37MB
  46. feature-engineering/03_module-2-raw-data-to-features/02_overview/02_02_raw-data-to-features.mp42.38MB
  47. feature-engineering/03_module-2-raw-data-to-features/03_feature-attributes/03_01_good-features-versus-bad-features.mp46.02MB
  48. feature-engineering/03_module-2-raw-data-to-features/03_feature-attributes/03_02_features-should-be-known-at-prediction-time.mp48.52MB
  49. feature-engineering/03_module-2-raw-data-to-features/03_feature-attributes/03_03_features-should-be-numeric.mp46.39MB
  50. feature-engineering/03_module-2-raw-data-to-features/03_feature-attributes/03_04_features-should-have-enough-examples.mp48.28MB
  51. feature-engineering/03_module-2-raw-data-to-features/03_feature-attributes/03_05_bringing-human-insight.mp4553.43KB
  52. feature-engineering/03_module-2-raw-data-to-features/04_representing-features/04_01_representing-features.mp412.84MB
  53. feature-engineering/04_module-3-feature-engineering/01_feature-engineering-module-introduction/01_01_introduction.mp4430.9KB
  54. feature-engineering/04_module-3-feature-engineering/01_feature-engineering-module-introduction/01_02_machine-learning-versus-statistics.mp43.93MB
  55. feature-engineering/04_module-3-feature-engineering/02_feature-engineering-in-bigquery-ml/02_01_basic-feature-engineering.mp49.15MB
  56. feature-engineering/04_module-3-feature-engineering/02_feature-engineering-in-bigquery-ml/02_02_coursera-getting-started-with-google-cloud-platform-and-qwiklabs.mp410.64MB
  57. feature-engineering/04_module-3-feature-engineering/02_feature-engineering-in-bigquery-ml/02_03_lab-intro-performing-basic-feature-engineering-in-bigquery-ml.mp4730.53KB
  58. feature-engineering/04_module-3-feature-engineering/02_feature-engineering-in-bigquery-ml/02_04_advanced-feature-engineering-feature-crosses.mp47.82MB
  59. feature-engineering/04_module-3-feature-engineering/02_feature-engineering-in-bigquery-ml/02_05_bucketize-and-transform-functions.mp45.69MB
  60. feature-engineering/04_module-3-feature-engineering/03_feature-engineering-in-keras/03_01_predict-housing-prices.mp410.44MB
  61. feature-engineering/04_module-3-feature-engineering/03_feature-engineering-in-keras/03_02_estimate-taxi-fare.mp45.21MB
  62. feature-engineering/04_module-3-feature-engineering/03_feature-engineering-in-keras/03_03_temporal-and-geolocation-features.mp49.3MB
  63. feature-engineering/04_module-3-feature-engineering/03_feature-engineering-in-keras/03_04_lab-intro-basic-feature-engineering-in-keras.mp4680.04KB
  64. feature-engineering/04_module-3-feature-engineering/03_feature-engineering-in-keras/03_05_lab-intro-advanced-feature-engineering-in-keras.mp4661.33KB
  65. feature-engineering/05_module-4-preprocessing-and-feature-creation/01_preprocessing-and-feature-creation-module-introduction/01_01_introduction.mp4585.79KB
  66. feature-engineering/05_module-4-preprocessing-and-feature-creation/02_apache-beam-and-dataflow/02_01_apache-beam-and-dataflow.mp45.5MB
  67. feature-engineering/05_module-4-preprocessing-and-feature-creation/02_apache-beam-and-dataflow/02_02_dataflow-terms-and-concepts.mp47.63MB
  68. feature-engineering/06_module-5-feature-crosses-tensorflow-playground/01_feature-crosses-tensorflow-playground-module-introduction/01_01_introduction.mp4346.43KB
  69. feature-engineering/06_module-5-feature-crosses-tensorflow-playground/02_feature-crosses/02_01_what-is-a-feature-cross.mp42.9MB
  70. feature-engineering/06_module-5-feature-crosses-tensorflow-playground/02_feature-crosses/02_02_discretization.mp41.13MB
  71. feature-engineering/06_module-5-feature-crosses-tensorflow-playground/02_feature-crosses/02_03_lab-intro-tensorflow-playground-use-feature-crosses-to-create-a-good-classifier.mp4648.87KB
  72. feature-engineering/06_module-5-feature-crosses-tensorflow-playground/02_feature-crosses/02_04_lab-intro-tensorflow-playground-too-much-of-a-good-thing.mp4722.53KB
  73. feature-engineering/07_module-6-introduction-to-tensorflow-transform/01_introduction-to-tensorflow-transform-module-introduction/01_01_introduction.mp4454.9KB
  74. feature-engineering/07_module-6-introduction-to-tensorflow-transform/02_tensorflow-transform/02_01_tensorflow-transform.mp412.02MB
  75. feature-engineering/07_module-6-introduction-to-tensorflow-transform/02_tensorflow-transform/02_02_analyze-phase.mp44.6MB
  76. feature-engineering/07_module-6-introduction-to-tensorflow-transform/02_tensorflow-transform/02_03_transform-phase.mp45.45MB
  77. feature-engineering/07_module-6-introduction-to-tensorflow-transform/02_tensorflow-transform/02_04_supporting-serving.mp44.1MB
  78. google-machine-learning/01_introduction-to-course-and-series onehack.us/01_series-preview-and-course-introduction/01_01_course-series-preview.mp44.07MB
  79. google-machine-learning/01_introduction-to-course-and-series onehack.us/01_series-preview-and-course-introduction/01_02_course-introduction.mp42.05MB
  80. google-machine-learning/02_what-it-means-to-be-ai-first/01_what-it-means-to-be-ai-first-module-introduction/01_01_introduction.mp4730.49KB
  81. google-machine-learning/02_what-it-means-to-be-ai-first/02_machine-learning-on-google-cloud/02_01_what-is-ml.mp411.13MB
  82. google-machine-learning/02_what-it-means-to-be-ai-first/02_machine-learning-on-google-cloud/02_02_what-problems-can-it-solve.mp47.97MB
  83. google-machine-learning/02_what-it-means-to-be-ai-first/02_machine-learning-on-google-cloud/02_03_activity-intro-framing-a-machine-learning-problem.mp42.48MB
  84. google-machine-learning/02_what-it-means-to-be-ai-first/02_machine-learning-on-google-cloud/02_05_activity-solutions-framing-a-machine-learning-problem.mp45.73MB
  85. google-machine-learning/02_what-it-means-to-be-ai-first/02_machine-learning-on-google-cloud/02_06_infuse-your-apps-with-ml.mp44.92MB
  86. google-machine-learning/02_what-it-means-to-be-ai-first/02_machine-learning-on-google-cloud/02_07_build-a-data-strategy-around-ml.mp413.96MB
  87. google-machine-learning/03_how-google-does-ml/01_how-google-does-machine-learning/01_01_introduction.mp4869.67KB
  88. google-machine-learning/03_how-google-does-ml/01_how-google-does-machine-learning/01_02_ml-surprise.mp44.42MB
  89. google-machine-learning/03_how-google-does-ml/01_how-google-does-machine-learning/01_03_the-secret-sauce.mp410.45MB
  90. google-machine-learning/03_how-google-does-ml/01_how-google-does-machine-learning/01_04_ml-and-business-processes.mp42.61MB
  91. google-machine-learning/03_how-google-does-ml/01_how-google-does-machine-learning/01_05_the-path-to-ml.mp44.62MB
  92. google-machine-learning/03_how-google-does-ml/01_how-google-does-machine-learning/01_06_a-closer-look-at-the-path-to-ml.mp410.8MB
  93. google-machine-learning/03_how-google-does-ml/01_how-google-does-machine-learning/01_07_end-of-phases-deep-dive.mp42.64MB
  94. google-machine-learning/04_machine-learning-development-with-vertex-ai/01_ml-development-with-vertex-ai-module-introduction/01_01_introduction.mp41.63MB
  95. google-machine-learning/04_machine-learning-development-with-vertex-ai/02_moving-from-experimentation-to-production/02_01_moving-from-experimentation-to-production.mp413.28MB
  96. google-machine-learning/04_machine-learning-development-with-vertex-ai/03_vertex-ai/03_01_components-of-vertex-ai.mp47.7MB
  97. google-machine-learning/04_machine-learning-development-with-vertex-ai/03_vertex-ai/03_02_getting-started-with-google-cloud-platform-and-qwiklabs.mp410.45MB
  98. google-machine-learning/04_machine-learning-development-with-vertex-ai/03_vertex-ai/03_03_lab-intro-using-an-image-dataset-to-train-an-automl-model.mp4378.64KB
  99. google-machine-learning/04_machine-learning-development-with-vertex-ai/03_vertex-ai/03_04_lab-demo-using-an-image-dataset-to-train-an-automl-model.mp417.79MB
  100. google-machine-learning/04_machine-learning-development-with-vertex-ai/03_vertex-ai/03_05_lab-intro-training-an-automl-video-classification-model.mp4361.24KB
  101. google-machine-learning/04_machine-learning-development-with-vertex-ai/03_vertex-ai/03_06_lab-demo-training-an-automl-video-classification-model.mp421.61MB
  102. google-machine-learning/04_machine-learning-development-with-vertex-ai/03_vertex-ai/03_07_tools-to-interact-with-vertex-ai.mp43.31MB
  103. google-machine-learning/05_machine-learning-development-with-vertex-notebooks/01_ml-development-with-vertex-notebooks-module-introduction/01_01_introduction.mp4409.4KB
  104. google-machine-learning/05_machine-learning-development-with-vertex-notebooks/02_ml-development-with-vertex-notebooks/02_01_machine-learning-development-with-vertex-notebooks.mp47.02MB
  105. google-machine-learning/06_best-practices-for-implementing-machine-learning-on-vertex-ai/01_best-practices-for-implementing-machine-learning-on-vertex-ai-module/01_01_introduction.mp4477.17KB
  106. google-machine-learning/06_best-practices-for-implementing-machine-learning-on-vertex-ai/02_best-practices-for-implementing-machine-learning-on-vertex-ai/02_01_best-practices-for-machine-learning-development.mp49.86MB
  107. google-machine-learning/06_best-practices-for-implementing-machine-learning-on-vertex-ai/02_best-practices-for-implementing-machine-learning-on-vertex-ai/02_02_data-preprocessing-best-practices.mp42.86MB
  108. google-machine-learning/06_best-practices-for-implementing-machine-learning-on-vertex-ai/02_best-practices-for-implementing-machine-learning-on-vertex-ai/02_03_best-practices-for-machine-learning-environment-setup.mp43.14MB
  109. google-machine-learning/07_responsible-ai-development/01_responsible-ai-development-module-introduction/01_01_introduction.mp4523.57KB
  110. google-machine-learning/07_responsible-ai-development/02_machine-learning-and-human-bias/02_01_overview.mp41.21MB
  111. google-machine-learning/07_responsible-ai-development/02_machine-learning-and-human-bias/02_02_human-biases-lead-to-biases-in-ml-models.mp46.99MB
  112. google-machine-learning/07_responsible-ai-development/02_machine-learning-and-human-bias/02_03_biases-in-data.mp47.74MB
  113. google-machine-learning/07_responsible-ai-development/03_equality-in-metrics-and-data/03_01_evaluating-metrics-with-inclusion-for-your-ml-system.mp410.92MB
  114. google-machine-learning/07_responsible-ai-development/03_equality-in-metrics-and-data/03_02_equality-of-opportunity.mp413.57MB
  115. google-machine-learning/07_responsible-ai-development/03_equality-in-metrics-and-data/03_03_how-to-find-errors-in-your-dataset-using-facets.mp415.58MB
  116. intro-tensorflow/01_introduction-to-the-course/01_course-introduction/01_01_introduction.mp41.18MB
  117. intro-tensorflow/02_introduction-to-the-tensorflow-ecosystem/01_introduction-to-the-tensorflow-ecosystem-module-introduction/01_01_introduction-to-the-tensorflow-ecosystem.mp4442.71KB
  118. intro-tensorflow/02_introduction-to-the-tensorflow-ecosystem/02_introduction-to-tensorflow/02_01_introduction-to-tensorflow.mp47.32MB
  119. intro-tensorflow/02_introduction-to-the-tensorflow-ecosystem/02_introduction-to-tensorflow/02_02_tensorflow-api-hierarchy.mp45.54MB
  120. intro-tensorflow/02_introduction-to-the-tensorflow-ecosystem/02_introduction-to-tensorflow/02_03_components-of-tensorflow-tensors-and-variables.mp410.51MB
  121. intro-tensorflow/03_design-and-build-an-input-data-pipeline/01_design-and-build-input-data-pipeline-module-introduction/01_01_introduction.mp4623.57KB
  122. intro-tensorflow/03_design-and-build-an-input-data-pipeline/01_design-and-build-input-data-pipeline-module-introduction/01_02_an-ml-recap.mp44.1MB
  123. intro-tensorflow/03_design-and-build-an-input-data-pipeline/02_training-on-large-datasets-with-tf-data-api/02_01_training-on-large-datasets-with-tf-data-api.mp44.67MB
  124. intro-tensorflow/03_design-and-build-an-input-data-pipeline/02_training-on-large-datasets-with-tf-data-api/02_02_working-in-memory-and-with-files.mp45.17MB
  125. intro-tensorflow/03_design-and-build-an-input-data-pipeline/02_training-on-large-datasets-with-tf-data-api/02_03_getting-the-data-ready-for-model-training.mp47.67MB
  126. intro-tensorflow/03_design-and-build-an-input-data-pipeline/02_training-on-large-datasets-with-tf-data-api/02_04_embeddings.mp417.81MB
  127. intro-tensorflow/03_design-and-build-an-input-data-pipeline/02_training-on-large-datasets-with-tf-data-api/02_05_coursera-getting-started-with-google-cloud-and-qwiklabs.mp410.45MB
  128. intro-tensorflow/03_design-and-build-an-input-data-pipeline/02_training-on-large-datasets-with-tf-data-api/02_06_lab-intro-tensorflow-dataset-api.mp4596.46KB
  129. intro-tensorflow/03_design-and-build-an-input-data-pipeline/03_scaling-data-processing-with-tf-data-and-keras-preprocessing-layers/03_01_scaling-data-processing-with-tf-data-and-keras-preprocessing-layers.mp416.11MB
  130. intro-tensorflow/03_design-and-build-an-input-data-pipeline/03_scaling-data-processing-with-tf-data-and-keras-preprocessing-layers/03_02_lab-intro-classifying-structured-data-using-keras-preprocessing-layers.mp4749.14KB
  131. intro-tensorflow/04_building-neural-networks-with-the-tensorflow-and-keras-api/01_building-neural-networks-with-the-tensorflow-and-keras-api-module-introduction/01_01_introduction.mp4791.96KB
  132. intro-tensorflow/04_building-neural-networks-with-the-tensorflow-and-keras-api/02_activation-functions/02_01_activation-functions.mp410.27MB
  133. intro-tensorflow/04_building-neural-networks-with-the-tensorflow-and-keras-api/03_neural-networks-with-tf-2-and-keras/03_01_training-neural-networks-with-tensorflow-2-and-the-keras-sequential-api.mp410.14MB
  134. intro-tensorflow/04_building-neural-networks-with-the-tensorflow-and-keras-api/03_neural-networks-with-tf-2-and-keras/03_02_serving-models-in-the-cloud.mp44.34MB
  135. intro-tensorflow/04_building-neural-networks-with-the-tensorflow-and-keras-api/03_neural-networks-with-tf-2-and-keras/03_03_lab-intro-introducing-the-keras-sequential-api-on-vertex-ai-platform.mp4786.19KB
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