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[CourseClub.NET] Packtpub - Hands-on Google Cloud Platform(GCP) - Data Engineer

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视频 2021-6-2 12:20 2024-5-18 22:06 313 2.77 GB 54
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文件列表
  1. 1.Introduction/01.Introduction.mp413.55MB
  2. 1.Introduction/02.Details on Google certification.mp422.44MB
  3. 1.Introduction/03.Overview of Data engineer certification.mp431.78MB
  4. 1.Introduction/04.Why cloud.mp420.44MB
  5. 10.BigQuery/30.More GCP – BigQuery.mp482.25MB
  6. 10.BigQuery/31.Lab - BigQuery - Loading CSV data.mp442.71MB
  7. 10.BigQuery/32.Lab - Querying Table.mp460.67MB
  8. 11.Machine Learning _ Tensorflow/33.Hello Machine learning.mp423.87MB
  9. 11.Machine Learning _ Tensorflow/34.The ML block diagram, Deep learning _amp_ neural networks.mp442.2MB
  10. 11.Machine Learning _ Tensorflow/35.Lab - simple Math in Tensorflow.mp436.5MB
  11. 11.Machine Learning _ Tensorflow/36.Understanding Tensorflow.mp455.39MB
  12. 11.Machine Learning _ Tensorflow/37.Tensors.mp423.44MB
  13. 11.Machine Learning _ Tensorflow/38.Lab - Tensors.mp472.35MB
  14. 11.Machine Learning _ Tensorflow/39.Linear regression basics.mp442.82MB
  15. 11.Machine Learning _ Tensorflow/40.Lab - Simple regression example.mp493.05MB
  16. 11.Machine Learning _ Tensorflow/41.Placeholders _amp_ variables.mp450.19MB
  17. 11.Machine Learning _ Tensorflow/42.Lab - simple math with placeholders.mp496.97MB
  18. 11.Machine Learning _ Tensorflow/43.Lab - Dealing with variables.mp429.87MB
  19. 11.Machine Learning _ Tensorflow/44.Image processing in TensorFlow.mp474.42MB
  20. 11.Machine Learning _ Tensorflow/45.Lab - work with images.mp436.11MB
  21. 11.Machine Learning _ Tensorflow/46.Image as Tensors.mp467.97MB
  22. 11.Machine Learning _ Tensorflow/47.Lab - work with images- part 2.mp485.08MB
  23. 11.Machine Learning _ Tensorflow/48.MNIST _amp_ KNN.mp484.16MB
  24. 11.Machine Learning _ Tensorflow/49.L1 Distance.mp466.89MB
  25. 11.Machine Learning _ Tensorflow/50.Neural Network in Real Time, Learning regression and XOR.mp494.16MB
  26. 11.Machine Learning _ Tensorflow/51.Gradient descent.mp469.3MB
  27. 11.Machine Learning _ Tensorflow/52.A bit on logistic regression.mp466.41MB
  28. 12.Add on - operations _ security/53.Stack Driver.mp428.19MB
  29. 12.Add on - operations _ security/54.Cloud IAM.mp426.41MB
  30. 2.Dive into practicals/05.Lab 1 - Creating a Google cloud account.mp429.2MB
  31. 2.Dive into practicals/06.Working with cloud Shell.mp431.41MB
  32. 3.The Mighty _HADOOP_/07.Hello Hadoop.mp441.92MB
  33. 3.The Mighty _HADOOP_/08.Hadoop-2.mp414.27MB
  34. 3.The Mighty _HADOOP_/09.Hadoop -3.mp433.7MB
  35. 3.The Mighty _HADOOP_/10.Hadoop ecosystem and GCP equivalent.mp482.36MB
  36. 4.Cloud compute engine/11.Introduction.mp460.16MB
  37. 4.Cloud compute engine/12.preemtible VMs.mp441.04MB
  38. 4.Cloud compute engine/13.Google App Engine (GAE).mp434.73MB
  39. 4.Cloud compute engine/14.Lab 1 - Creating VM instance.mp435.09MB
  40. 4.Cloud compute engine/15.Lab 2 - Dealing with VM.mp419.83MB
  41. 4.Cloud compute engine/16.Lab 3 - VM Instance via Command Line.mp428.24MB
  42. 5.Let_s Explore Storage/17.Get introduced to cloud storage.mp429.59MB
  43. 5.Let_s Explore Storage/18.A bit more about storage.mp483.09MB
  44. 5.Let_s Explore Storage/19.All about datastore.mp488.01MB
  45. 5.Let_s Explore Storage/20.Cloud SQL.mp458.53MB
  46. 5.Let_s Explore Storage/21.Cloud Spanner.mp488.95MB
  47. 5.Let_s Explore Storage/22.Lab - Cloud Spanner.mp437.19MB
  48. 5.Let_s Explore Storage/23.Lab - Storage buckets.mp445.69MB
  49. 5.Let_s Explore Storage/24.Lab - Cloud SQL.mp482.5MB
  50. 6.Big Table- columnar store/25.Big Table introduction.mp496.56MB
  51. 6.Big Table- columnar store/26.CRUD operations _amp_ choice of Big Table.mp492.88MB
  52. 7.Cloud Datalab/27.Datalab.mp435.2MB
  53. 8.PUB_SUB/28.Streaming Data -PUB_SUB.mp439.86MB
  54. 9.Dataflow/29.Dataflow.mp467.1MB
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