589689.xyz

[] Pluralsight - Google Cloud Big Data and Machine Learning Fundamentals

  • 收录时间:2023-09-14 03:52:01
  • 文件大小:255MB
  • 下载次数:1
  • 最近下载:2023-09-14 03:52:01
  • 磁力链接:
立即下载 复制链接

文件列表

  1. 04. Big Data with BigQuery/03. BigQuery demo - San Francisco bike share.mp4 30MB
  2. 02. Big Data and Machine Learning on Google Cloud/03. Compute.mp4 12MB
  3. 02. Big Data and Machine Learning on Google Cloud/08. Pluralsight - Getting Started with GCP and Qwiklabs.mp4 10MB
  4. 03. Data Engineering for Streaming Data/03. Message-oriented architecture.mp4 9MB
  5. 5. Machine Learning Options on Google Cloud/4. AutoML.mp4 9MB
  6. 02. Big Data and Machine Learning on Google Cloud/04. Storage.mp4 8MB
  7. 1. Course Introduction/2. Course introduction.mp4 8MB
  8. 04. Big Data with BigQuery/05. Using BigQuery ML to predict customer lifetime value.mp4 8MB
  9. 06. The Machine Learning Workflow with Vertex AI/01. Introduction.mp4 7MB
  10. 7. Course Summary/1. Course summary.mp4 7MB
  11. 04. Big Data with BigQuery/01. Introduction.mp4 7MB
  12. 04. Big Data with BigQuery/04. Introduction to BigQuery ML.mp4 7MB
  13. 06. The Machine Learning Workflow with Vertex AI/04. Model evaluation.mp4 7MB
  14. 06. The Machine Learning Workflow with Vertex AI/03. Model training.mp4 6MB
  15. 02. Big Data and Machine Learning on Google Cloud/07. Customer example - Gojek.mp4 6MB
  16. 03. Data Engineering for Streaming Data/05. Implementing streaming pipelines on Cloud Dataflow.mp4 6MB
  17. 02. Big Data and Machine Learning on Google Cloud/05. The history of big data and ML products.mp4 6MB
  18. 5. Machine Learning Options on Google Cloud/2. Options to build ML models.mp4 6MB
  19. 04. Big Data with BigQuery/07. BigQuery ML key commands.mp4 5MB
  20. 5. Machine Learning Options on Google Cloud/6. Vertex AI.mp4 5MB
  21. 06. The Machine Learning Workflow with Vertex AI/05. Model deployment and monitoring.mp4 5MB
  22. 1. Course Introduction/1. Meet the author.mp4 5MB
  23. 04. Big Data with BigQuery/02. Storage and analytics.mp4 5MB
  24. 03. Data Engineering for Streaming Data/06. Visualization with Looker.mp4 5MB
  25. 03. Data Engineering for Streaming Data/01. Introduction.mp4 5MB
  26. 06. The Machine Learning Workflow with Vertex AI/02. Data preparation.mp4 5MB
  27. 06. The Machine Learning Workflow with Vertex AI/08. Lab recap - Predicting loan risk with AutoML.mp4 4MB
  28. 02. Big Data and Machine Learning on Google Cloud/02. Google Cloud infrastructure.mp4 4MB
  29. 03. Data Engineering for Streaming Data/04. Designing streaming pipelines with Apache Beam.mp4 4MB
  30. 03. Data Engineering for Streaming Data/02. Big data challenges.mp4 4MB
  31. 5. Machine Learning Options on Google Cloud/3. Pre-built APIs.mp4 4MB
  32. 02. Big Data and Machine Learning on Google Cloud/06. Big data and ML product categories.mp4 4MB
  33. 5. Machine Learning Options on Google Cloud/1. Introduction.mp4 4MB
  34. 04. Big Data with BigQuery/06. BigQuery ML project phases.mp4 3MB
  35. 02. Big Data and Machine Learning on Google Cloud/01. Introduction.mp4 3MB
  36. 5. Machine Learning Options on Google Cloud/7. AI Solutions.mp4 3MB
  37. 5. Machine Learning Options on Google Cloud/8. Summary.mp4 3MB
  38. 04. Big Data with BigQuery/10. Summary.mp4 3MB
  39. 03. Data Engineering for Streaming Data/07. Visualization with Data Studio.mp4 2MB
  40. 5. Machine Learning Options on Google Cloud/5. Custom training.mp4 2MB
  41. 02. Big Data and Machine Learning on Google Cloud/11. Summary.mp4 2MB
  42. 03. Data Engineering for Streaming Data/10. Summary.mp4 2MB
  43. 03. Data Engineering for Streaming Data/08. Lab introduction - Creating a streaming data pipeline for a Real-Time dashboar.mp4 2MB
  44. 04. Big Data with BigQuery/08. Lab introduction - Predicting Visitor Purchases Using BigQuery ML.mp4 1MB
  45. 02. Big Data and Machine Learning on Google Cloud/09. Lab introduction - Exploring a BigQuery Public Dataset.mp4 1MB
  46. 06. The Machine Learning Workflow with Vertex AI/09. Summary.mp4 1MB
  47. 06. The Machine Learning Workflow with Vertex AI/06. Lab introduction - Predicting loan risk with AutoML.mp4 771KB
  48. 04. Big Data with BigQuery/03. BigQuery demo - San Francisco bike share.vtt 18KB
  49. 5. Machine Learning Options on Google Cloud/4. AutoML.vtt 10KB
  50. 04. Big Data with BigQuery/01. Introduction.vtt 8KB
  51. 02. Big Data and Machine Learning on Google Cloud/04. Storage.vtt 8KB
  52. 06. The Machine Learning Workflow with Vertex AI/01. Introduction.vtt 7KB
  53. 03. Data Engineering for Streaming Data/03. Message-oriented architecture.vtt 7KB
  54. 02. Big Data and Machine Learning on Google Cloud/03. Compute.vtt 7KB
  55. 06. The Machine Learning Workflow with Vertex AI/04. Model evaluation.vtt 7KB
  56. 04. Big Data with BigQuery/05. Using BigQuery ML to predict customer lifetime value.vtt 7KB
  57. 1. Course Introduction/2. Course introduction.vtt 7KB
  58. 04. Big Data with BigQuery/04. Introduction to BigQuery ML.vtt 6KB
  59. 7. Course Summary/1. Course summary.vtt 6KB
  60. 06. The Machine Learning Workflow with Vertex AI/03. Model training.vtt 6KB
  61. 02. Big Data and Machine Learning on Google Cloud/08. Pluralsight - Getting Started with GCP and Qwiklabs.vtt 6KB
  62. 02. Big Data and Machine Learning on Google Cloud/05. The history of big data and ML products.vtt 6KB
  63. 02. Big Data and Machine Learning on Google Cloud/07. Customer example - Gojek.vtt 5KB
  64. 5. Machine Learning Options on Google Cloud/2. Options to build ML models.vtt 5KB
  65. 5. Machine Learning Options on Google Cloud/6. Vertex AI.vtt 5KB
  66. 06. The Machine Learning Workflow with Vertex AI/05. Model deployment and monitoring.vtt 5KB
  67. 04. Big Data with BigQuery/02. Storage and analytics.vtt 5KB
  68. 04. Big Data with BigQuery/07. BigQuery ML key commands.vtt 5KB
  69. 06. The Machine Learning Workflow with Vertex AI/02. Data preparation.vtt 5KB
  70. 03. Data Engineering for Streaming Data/05. Implementing streaming pipelines on Cloud Dataflow.vtt 5KB
  71. 06. The Machine Learning Workflow with Vertex AI/08. Lab recap - Predicting loan risk with AutoML.vtt 4KB
  72. 03. Data Engineering for Streaming Data/06. Visualization with Looker.vtt 4KB
  73. 03. Data Engineering for Streaming Data/01. Introduction.vtt 4KB
  74. 5. Machine Learning Options on Google Cloud/7. AI Solutions.vtt 3KB
  75. 5. Machine Learning Options on Google Cloud/1. Introduction.vtt 3KB
  76. 02. Big Data and Machine Learning on Google Cloud/02. Google Cloud infrastructure.vtt 3KB
  77. 02. Big Data and Machine Learning on Google Cloud/06. Big data and ML product categories.vtt 3KB
  78. 03. Data Engineering for Streaming Data/04. Designing streaming pipelines with Apache Beam.vtt 3KB
  79. 5. Machine Learning Options on Google Cloud/3. Pre-built APIs.vtt 3KB
  80. 02. Big Data and Machine Learning on Google Cloud/01. Introduction.vtt 3KB
  81. 5. Machine Learning Options on Google Cloud/8. Summary.vtt 3KB
  82. 03. Data Engineering for Streaming Data/02. Big data challenges.vtt 3KB
  83. 04. Big Data with BigQuery/06. BigQuery ML project phases.vtt 3KB
  84. 04. Big Data with BigQuery/10. Summary.vtt 2KB
  85. 03. Data Engineering for Streaming Data/07. Visualization with Data Studio.vtt 2KB
  86. 5. Machine Learning Options on Google Cloud/5. Custom training.vtt 2KB
  87. 02. Big Data and Machine Learning on Google Cloud/11. Summary.vtt 2KB
  88. 1. Course Introduction/1. Meet the author.vtt 2KB
  89. 03. Data Engineering for Streaming Data/08. Lab introduction - Creating a streaming data pipeline for a Real-Time dashboar.vtt 1KB
  90. 04. Big Data with BigQuery/08. Lab introduction - Predicting Visitor Purchases Using BigQuery ML.vtt 1KB
  91. 03. Data Engineering for Streaming Data/10. Summary.vtt 1KB
  92. 02. Big Data and Machine Learning on Google Cloud/09. Lab introduction - Exploring a BigQuery Public Dataset.vtt 1KB
  93. 06. The Machine Learning Workflow with Vertex AI/09. Summary.vtt 1KB
  94. 06. The Machine Learning Workflow with Vertex AI/06. Lab introduction - Predicting loan risk with AutoML.vtt 854B
  95. [CourseClub.Me].url 66B