首页 磁力链接怎么用

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

文件类型 收录时间 最后活跃 资源热度 文件大小 文件数量
视频 2024-12-21 04:30 2024-12-22 18:37 7 1.21 GB 187
磁力链接
magnet:?xt=urn:btih:22c132f12a822d83847584ae58fc30a838123875
迅雷链接
thunder://QUFtYWduZXQ6P3h0PXVybjpidGloOjIyYzEzMmYxMmE4MjJkODM4NDc1ODRhZTU4ZmMzMGE4MzgxMjM4NzVaWg==
二维码链接
[Coursera] Machine Learning on Google Cloud Specialization - 5 course series的二维码
种子下载(838888不存储任何种子文件)
种子下载线路1(迅雷)--推荐
种子下载线路2(比特彗星)
种子下载线路3(torcache)
3条线路均为国内外知名下载网站种子链接，内容跟本站无关！
相关链接

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
  136. intro-tensorflow/04_building-neural-networks-with-the-tensorflow-and-keras-api/03_neural-networks-with-tf-2-and-keras/03_04_training-neural-networks-with-tensorflow-2-and-the-keras-functional-api.mp413.13MB
  137. intro-tensorflow/04_building-neural-networks-with-the-tensorflow-and-keras-api/03_neural-networks-with-tf-2-and-keras/03_05_lab-intro-build-a-dnn-using-the-keras-functional-api-on-vertex-ai-platform.mp4691.08KB
  138. intro-tensorflow/04_building-neural-networks-with-the-tensorflow-and-keras-api/03_neural-networks-with-tf-2-and-keras/03_06_model-subclassing.mp47.52MB
  139. intro-tensorflow/04_building-neural-networks-with-the-tensorflow-and-keras-api/04_regularization/04_01_regularization-basics.mp46.24MB
  140. intro-tensorflow/04_building-neural-networks-with-the-tensorflow-and-keras-api/04_regularization/04_02_how-can-we-measure-model-complexity-l1-vs-l2-regularization.mp47.16MB
  141. intro-tensorflow/05_training-at-scale-with-vertex-ai/01_training-at-scale-with-vertex-ai-module-introduction/01_01_introduction.mp4493.34KB
  142. intro-tensorflow/05_training-at-scale-with-vertex-ai/02_scaling-tensorflow-with-vertex-ai/02_01_training-at-scale-with-vertex-ai.mp49.47MB
  143. intro-tensorflow/05_training-at-scale-with-vertex-ai/02_scaling-tensorflow-with-vertex-ai/02_02_lab-intro-training-at-scale-with-the-vertex-ai-training-service.mp4933.46KB
  144. launching-machine-learning/01_introduction/01_introduction-to-the-course/01_01_course-introduction.mp4848.54KB
  145. launching-machine-learning/02_get-to-know-your-data-improve-data-through-exploratory-data-analysis/01_get-to-know-your-data-module-introduction/01_01_introduction.mp4923.68KB
  146. launching-machine-learning/02_get-to-know-your-data-improve-data-through-exploratory-data-analysis/02_improve-data-through-exploratory-data-analysis/02_01_improve-data-quality.mp418.39MB
  147. launching-machine-learning/02_get-to-know-your-data-improve-data-through-exploratory-data-analysis/02_improve-data-through-exploratory-data-analysis/02_02_getting-started-with-google-cloud-and-qwiklabs.mp410.45MB
  148. launching-machine-learning/02_get-to-know-your-data-improve-data-through-exploratory-data-analysis/02_improve-data-through-exploratory-data-analysis/02_03_lab-intro-improve-the-quality-of-your-data.mp41.7MB
  149. launching-machine-learning/02_get-to-know-your-data-improve-data-through-exploratory-data-analysis/02_improve-data-through-exploratory-data-analysis/02_05_what-is-exploratory-data-analysis.mp46.84MB
  150. launching-machine-learning/02_get-to-know-your-data-improve-data-through-exploratory-data-analysis/02_improve-data-through-exploratory-data-analysis/02_06_how-is-eda-used-in-machine-learning.mp45.78MB
  151. launching-machine-learning/02_get-to-know-your-data-improve-data-through-exploratory-data-analysis/02_improve-data-through-exploratory-data-analysis/02_07_data-analysis-and-visualization.mp45.1MB
  152. launching-machine-learning/02_get-to-know-your-data-improve-data-through-exploratory-data-analysis/02_improve-data-through-exploratory-data-analysis/02_08_lab-intro-explore-the-data-using-python-and-bigquery.mp41021.57KB
  153. launching-machine-learning/03_machine-learning-in-practice/01_machine-learning-in-practice-module-introduction/01_01_introduction.mp4785.93KB
  154. launching-machine-learning/03_machine-learning-in-practice/02_supervised-learning/02_01_supervised-learning.mp45.21MB
  155. launching-machine-learning/03_machine-learning-in-practice/02_supervised-learning/02_02_linear-regression.mp414.61MB
  156. launching-machine-learning/03_machine-learning-in-practice/02_supervised-learning/02_03_lab-intro-introduction-to-linear-regression.mp4573.62KB
  157. launching-machine-learning/03_machine-learning-in-practice/02_supervised-learning/02_04_lab-demo-intro-to-linear-regression.mp441.23MB
  158. launching-machine-learning/03_machine-learning-in-practice/02_supervised-learning/02_05_logistic-regression.mp432.94MB
  159. launching-machine-learning/04_training-automl-models-using-vertex-ai/01_training-automl-models-using-vertex-ai-module-introduction/01_01_introduction.mp4604.66KB
  160. launching-machine-learning/04_training-automl-models-using-vertex-ai/02_train-automl-models-using-vertex-ai/02_01_machine-learning-vs-deep-learning.mp49.2MB
  161. launching-machine-learning/04_training-automl-models-using-vertex-ai/02_train-automl-models-using-vertex-ai/02_02_what-is-automated-machine-learning.mp41.92MB
  162. launching-machine-learning/04_training-automl-models-using-vertex-ai/02_train-automl-models-using-vertex-ai/02_03_automl-regression-model.mp413.46MB
  163. launching-machine-learning/04_training-automl-models-using-vertex-ai/02_train-automl-models-using-vertex-ai/02_04_evaluate-automl-models.mp414.28MB
  164. launching-machine-learning/05_bigquery-machine-learning-develop-ml-models-where-your-data-lives/01_bigquery-machine-learning-module-introduction/01_01_introduction.mp4594.63KB
  165. launching-machine-learning/05_bigquery-machine-learning-develop-ml-models-where-your-data-lives/02_develop-ml-models-where-your-data-lives/02_01_training-an-ml-model-using-bigquery-ml.mp47.75MB
  166. launching-machine-learning/05_bigquery-machine-learning-develop-ml-models-where-your-data-lives/02_develop-ml-models-where-your-data-lives/02_02_bigquery-machine-learning-supported-models.mp43.22MB
  167. launching-machine-learning/05_bigquery-machine-learning-develop-ml-models-where-your-data-lives/02_develop-ml-models-where-your-data-lives/02_03_lab-intro-using-bigquery-ml-to-predict-penguin-weight-bigquery-ml-explainable-ai.mp4631.32KB
  168. launching-machine-learning/05_bigquery-machine-learning-develop-ml-models-where-your-data-lives/02_develop-ml-models-where-your-data-lives/02_04_lab-demo-using-bigquery-ml-to-predict-penguin-weight-bigquery-ml-explainable-ai.mp428.24MB
  169. launching-machine-learning/05_bigquery-machine-learning-develop-ml-models-where-your-data-lives/02_develop-ml-models-where-your-data-lives/02_05_bigquery-ml-hyperparameter-tuning.mp44.44MB
  170. launching-machine-learning/05_bigquery-machine-learning-develop-ml-models-where-your-data-lives/02_develop-ml-models-where-your-data-lives/02_06_how-to-build-and-deploy-a-recommendation-system-with-bigquery-ml.mp47.43MB
  171. launching-machine-learning/06_optimization/01_optimization-module-introduction/01_01_introduction.mp4642.58KB
  172. launching-machine-learning/06_optimization/02_defining-ml-models/02_01_defining-ml-models.mp44.99MB
  173. launching-machine-learning/06_optimization/02_defining-ml-models/02_02_introducing-the-course-dataset.mp48.51MB
  174. launching-machine-learning/06_optimization/02_defining-ml-models/02_03_introduction-to-loss-functions.mp49.09MB
  175. launching-machine-learning/06_optimization/03_gradient-descent/03_01_gradient-descent.mp411.11MB
  176. launching-machine-learning/06_optimization/03_gradient-descent/03_02_troubleshooting-loss-curves.mp42.97MB
  177. launching-machine-learning/06_optimization/03_gradient-descent/03_03_ml-model-pitfalls.mp48.02MB
  178. launching-machine-learning/06_optimization/04_tensorflow-playground/04_01_lecture-lab-introducing-the-tensorflow-playground.mp47.55MB
  179. launching-machine-learning/06_optimization/04_tensorflow-playground/04_02_lecture-lab-tensorflow-playground-advanced.mp44.55MB
  180. launching-machine-learning/06_optimization/04_tensorflow-playground/04_03_lecture-lab-practicing-with-neural-networks.mp49.34MB
  181. launching-machine-learning/06_optimization/05_performance-metrics/05_01_performance-metrics.mp44.35MB
  182. launching-machine-learning/06_optimization/05_performance-metrics/05_02_confusion-matrix.mp48.29MB
  183. launching-machine-learning/07_generalization-and-sampling/01_generalization-and-sampling-module-introduction/01_01_introduction.mp42.07MB
  184. launching-machine-learning/07_generalization-and-sampling/02_generalization/02_01_generalization-and-ml-models.mp47.4MB
  185. launching-machine-learning/07_generalization-and-sampling/02_generalization/02_02_when-to-stop-model-training.mp46.01MB
  186. launching-machine-learning/07_generalization-and-sampling/03_sampling/03_01_creating-repeatable-samples-in-bigquery.mp48.31MB
  187. launching-machine-learning/07_generalization-and-sampling/03_sampling/03_02_demo-splitting-datasets-in-bigquery.mp414.59MB
友情提示
不会用的朋友看这里 把磁力链接复制到离线下载，或者bt下载软件里即可下载文件，或者直接复制迅雷链接到迅雷里下载！ 亲，你造吗？将网页分享给您的基友，下载的人越多速度越快哦！

违规内容投诉邮箱：[email protected]

概述 838888磁力搜索是一个磁力链接搜索引擎，是学术研究的副产品，用于解决资源过度分散的问题 它通过BitTorrent协议加入DHT网络，实时的自动采集数据，仅存储文件的标题、大小、文件列表、文件标识符（磁力链接）等基础信息 838888磁力搜索不下载任何真实资源，无法判断资源的合法性及真实性，使用838888磁力搜索服务的用户需自行鉴别内容的真伪 838888磁力搜索不上传任何资源，不提供Tracker服务，不提供种子文件的下载，这意味着838888磁力搜索 838888磁力搜索是一个完全合法的系统
838888磁力链接 磁力链接bt种子搜索引擎磁力搜索 DMCA