Packtpub-Hands-on-Google-1vFmj
- 1.Introduction\/01.Introduction.mp413.55MB
- 1.Introduction\/02.Details on Google certification.mp422.44MB
- 1.Introduction\/03.Overview of Data engineer certification.mp431.78MB
- 1.Introduction\/04.Why cloud.mp420.44MB
- 10.BigQuery\/30.More GCP – BigQuery.mp482.25MB
- 10.BigQuery\/31.Lab - BigQuery - Loading CSV data.mp442.71MB
- 10.BigQuery\/32.Lab - Querying Table.mp460.67MB
- 11.chine Learning _ Tensorflow\/33.Hello Machine learning.mp423.87MB
- 11.chine Learning _ Tensorflow\/34.The ML block diagram Deep learning _amp_ neural networks.mp442.20MB
- 11.chine Learning _ Tensorflow\/35.Lab - simple Math in Tensorflow.mp436.50MB
- 11.chine Learning _ Tensorflow\/36.Understanding Tensorflow.mp455.39MB
- 11.chine Learning _ Tensorflow\/37.Tensors.mp423.44MB
- 11.chine Learning _ Tensorflow\/38.Lab - Tensors.mp472.35MB
- 11.chine Learning _ Tensorflow\/39.Linear regression basics.mp442.82MB
- 11.chine Learning _ Tensorflow\/40.Lab - Simple regression example.mp493.05MB
- 11.chine Learning _ Tensorflow\/41.Placeholders _amp_ variables.mp450.19MB
- 11.chine Learning _ Tensorflow\/42.Lab - simple math with placeholders.mp496.97MB
- 11.chine Learning _ Tensorflow\/43.Lab - Dealing with variables.mp429.87MB
- 11.chine Learning _ Tensorflow\/44.Image processing in TensorFlow.mp474.42MB
- 11.chine Learning _ Tensorflow\/45.Lab - work with images.mp436.11MB
- 11.chine Learning _ Tensorflow\/46.Image as Tensors.mp467.97MB
- 11.chine Learning _ Tensorflow\/47.Lab - work with images- part 2.mp485.08MB
- 11.chine Learning _ Tensorflow\/48.MNIST _amp_ KNN.mp484.16MB
- 11.chine Learning _ Tensorflow\/49.L1 Distance.mp466.89MB
- 11.chine Learning _ Tensorflow\/50.Neural Network in Real Time Learning regression and XOR.mp494.16MB
- 11.chine Learning _ Tensorflow\/51.Gradient descent.mp469.30MB
- 11.chine Learning _ Tensorflow\/52.A bit on logistic regression.mp466.41MB
- 12.Add on - operations _ security\/53.Stack Driver.mp428.19MB
- 12.Add on - operations _ security\/54.Cloud IAM.mp426.41MB
- 2.Dive into practicals\/05.Lab 1 - Creating a Google cloud account.mp429.20MB
- 2.Dive into practicals\/06.Working with cloud Shell.mp431.41MB
- 3.The Mighty _HADOOP_\/07.Hello Hadoop.mp441.92MB
- 3.The Mighty _HADOOP_\/08.Hadoop-2.mp414.27MB
- 3.The Mighty _HADOOP_\/09.Hadoop -3.mp433.70MB
- 3.The Mighty _HADOOP_\/10.Hadoop ecosystem and GCP equivalent.mp482.36MB
- 4.Cloud compute engine\/11.Introduction.mp460.16MB
- 4.Cloud compute engine\/12.preemtible VMs.mp441.04MB
- 4.Cloud compute engine\/13.Google App Engine (GAE).mp434.73MB
- 4.Cloud compute engine\/14.Lab 1 - Creating VM instance.mp435.09MB
- 4.Cloud compute engine\/15.Lab 2 - Dealing with VM.mp419.83MB
- 4.Cloud compute engine\/16.Lab 3 - VM Instance via Comnd Line.mp428.24MB
- 5.Let_s Explore Storage\/17.Get introduced to cloud storage.mp429.59MB
- 5.Let_s Explore Storage\/18.A bit more about storage.mp483.09MB
- 5.Let_s Explore Storage\/19.All about datastore.mp488.01MB
- 5.Let_s Explore Storage\/20.Cloud SQL.mp458.53MB
- 5.Let_s Explore Storage\/21.Cloud Spanner.mp488.95MB
- 5.Let_s Explore Storage\/22.Lab - Cloud Spanner.mp437.19MB
- 5.Let_s Explore Storage\/23.Lab - Storage buckets.mp445.69MB
- 5.Let_s Explore Storage\/24.Lab - Cloud SQL.mp482.50MB
- 6.Big Table- columnar store\/25.Big Table introduction.mp496.56MB
- 6.Big Table- columnar store\/26.CRUD operations _amp_ choice of Big Table.mp492.88MB
- 7.Cloud Datalab\/27.Datalab.mp435.20MB
- 8.PUB_SUB\/28.Streaming Data -PUB_SUB.mp439.86MB
- 9.Dataflow\/29.Dataflow.mp467.10MB
- Exercise Files\/code_34320.zip4.25MB
- CreateTime2023-06-12
- UpdateTime2023-07-03
- FileTotalCount57
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