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种子名称： [CourseClub.NET] Packtpub - Hands-on Google Cloud Platform(GCP) - Data Engineer
文件类型： 视频
文件数目： 54个文件
文件大小： 2.77 GB
收录时间： 2021-6-2 12:20
已经下载： 3次
资源热度： 310
最近下载： 2024-5-10 19:55

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

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.Machine Learning _ Tensorflow/33.Hello Machine learning.mp423.87MB

11.Machine Learning _ Tensorflow/34.The ML block diagram, Deep learning _amp_ neural networks.mp442.2MB

11.Machine Learning _ Tensorflow/35.Lab - simple Math in Tensorflow.mp436.5MB

11.Machine Learning _ Tensorflow/36.Understanding Tensorflow.mp455.39MB

11.Machine Learning _ Tensorflow/37.Tensors.mp423.44MB

11.Machine Learning _ Tensorflow/38.Lab - Tensors.mp472.35MB

11.Machine Learning _ Tensorflow/39.Linear regression basics.mp442.82MB

11.Machine Learning _ Tensorflow/40.Lab - Simple regression example.mp493.05MB

11.Machine Learning _ Tensorflow/41.Placeholders _amp_ variables.mp450.19MB

11.Machine Learning _ Tensorflow/42.Lab - simple math with placeholders.mp496.97MB

11.Machine Learning _ Tensorflow/43.Lab - Dealing with variables.mp429.87MB

11.Machine Learning _ Tensorflow/44.Image processing in TensorFlow.mp474.42MB

11.Machine Learning _ Tensorflow/45.Lab - work with images.mp436.11MB

11.Machine Learning _ Tensorflow/46.Image as Tensors.mp467.97MB

11.Machine Learning _ Tensorflow/47.Lab - work with images- part 2.mp485.08MB

11.Machine Learning _ Tensorflow/48.MNIST _amp_ KNN.mp484.16MB

11.Machine Learning _ Tensorflow/49.L1 Distance.mp466.89MB

11.Machine Learning _ Tensorflow/50.Neural Network in Real Time, Learning regression and XOR.mp494.16MB

11.Machine Learning _ Tensorflow/51.Gradient descent.mp469.3MB

11.Machine 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.mp429.2MB

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.mp433.7MB

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 Command 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.mp482.5MB

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.mp435.2MB

8.PUB_SUB/28.Streaming Data -PUB_SUB.mp439.86MB

9.Dataflow/29.Dataflow.mp467.1MB