[DownTuts.Com] Udemy - GCP Complete Google Data Engineer and Cloud Architect Guide

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[DownTuts.Com] Udemy - GCP Complete Google Data Engineer and Cloud Architect Guide

磁力链接/BT种子简介

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文件列表

  • 18. VPCs and Interconnecting Networks/9. Lab Working with Auto Mode and Custom Mode Networks.mp4 52.2 MB
  • 19. Managed Instance Groups and Load Balancing/15. Lab Autoscaling with Managed Instance Groups.mp4 35.2 MB
  • 18. VPCs and Interconnecting Networks/14. Lab Using Cloud Routers for Dynamic Routing.mp4 34.8 MB
  • 1. You, This Course and Us/2.3 Loonycorn_GCP_Slides.zip.zip 34.3 MB
  • 10. Dataflow ~ Apache Beam/10. Lab Dataflow With Big Query As Source And Side Inputs.mp4 30.9 MB
  • 19. Managed Instance Groups and Load Balancing/8. Lab HTTP(S) Load Balancing.mp4 30.3 MB
  • 20. Ops and Security/12. Lab Cloud IAM.mp4 29.0 MB
  • 18. VPCs and Interconnecting Networks/7. Firewall Rules.mp4 28.8 MB
  • 18. VPCs and Interconnecting Networks/12. Lab Working with Cloud VPN.mp4 27.4 MB
  • 13. Datalab ~ Jupyter/3. Lab Creating And Working On A Datalab Instance.vtt 27.4 MB
  • 13. Datalab ~ Jupyter/3. Lab Creating And Working On A Datalab Instance.mp4 27.4 MB
  • 15. Regression in TensorFlow/14. Lab Logistic Regression.mp4 27.1 MB
  • 16. Vision, Translate, NLP and Speech Trained ML APIs/2. Lab Taxicab Prediction - Setting up the dataset.mp4 26.9 MB
  • 4. Storage/14. Lab Cloud Storage Customer-Supplied Encryption Keys and Life-Cycle Management.mp4 25.8 MB
  • 10. Dataflow ~ Apache Beam/5. Lab Running A Java Data flow Program.mp4 25.4 MB
  • 15. Regression in TensorFlow/6. Lab Linear Regression.mp4 25.2 MB
  • 4. Storage/15. Lab Cloud Storage Versioning, Directory Sync.mp4 25.0 MB
  • 14. TensorFlow and Machine Learning/23. Lab K-Nearest-Neighbors.mp4 24.3 MB
  • 18. VPCs and Interconnecting Networks/3. Global VPCs, Regional Subnets.mp4 23.4 MB
  • 10. Dataflow ~ Apache Beam/6. Lab Implementing Word Count In Dataflow Java.mp4 22.8 MB
  • 10. Dataflow ~ Apache Beam/4. Lab Running A Python Data flow Program.mp4 22.8 MB
  • 16. Vision, Translate, NLP and Speech Trained ML APIs/4. Lab The Vision, Translate, NLP and Speech API.mp4 22.6 MB
  • 19. Managed Instance Groups and Load Balancing/14. Autoscalers.mp4 22.2 MB
  • 16. Vision, Translate, NLP and Speech Trained ML APIs/3. Lab Taxicab Prediction - Training and Running the model.mp4 22.2 MB
  • 20. Ops and Security/8. Lab Deployment Manager and Stackdriver.mp4 22.1 MB
  • 13. Datalab ~ Jupyter/4. Lab Importing And Exporting Data Using Datalab.mp4 22.1 MB
  • 12. PubSub for Streaming/8. Lab Reading Streaming Data From PubSub And Writing To BigQuery.mp4 21.9 MB
  • 18. VPCs and Interconnecting Networks/10. Lab Bastion Host.mp4 21.4 MB
  • 21. Appendix Hadoop Ecosystem/3. HDFS.mp4 20.8 MB
  • 20. Ops and Security/4. Lab Stackdriver Resource Monitoring.mp4 20.7 MB
  • 18. VPCs and Interconnecting Networks/4. IP Addresses.mp4 20.6 MB
  • 18. VPCs and Interconnecting Networks/13. Cloud Router.mp4 20.6 MB
  • 4. Storage/13. Lab Cloud Storage ACLs and API access with Service Account.mp4 20.6 MB
  • 18. VPCs and Interconnecting Networks/2. VPCs And Subnets.mp4 20.3 MB
  • 19. Managed Instance Groups and Load Balancing/2. Managed and Unmanaged Instance Groups.mp4 20.3 MB
  • 21. Appendix Hadoop Ecosystem/14. More Spark.mp4 20.0 MB
  • 12. PubSub for Streaming/10. Lab Pubsub Source BigQuery Sink.mp4 20.0 MB
  • 19. Managed Instance Groups and Load Balancing/11. Lab SSL Proxy Load Balancing.mp4 19.9 MB
  • 20. Ops and Security/10. Cloud IAM User accounts, Service accounts, API Credentials.mp4 19.5 MB
  • 20. Ops and Security/11. Cloud IAM Roles, Identity-Aware Proxy, Best Practices.mp4 19.5 MB
  • 18. VPCs and Interconnecting Networks/16. Shared VPCs.mp4 19.4 MB
  • 15. Regression in TensorFlow/4. Lab Linear Regression - Setting Up a Baseline.mp4 19.4 MB
  • 18. VPCs and Interconnecting Networks/8. Lab Working with Firewalls.mp4 19.4 MB
  • 9. BigQuery ~ Hive ~ OLAP/12. Lab Using The With Statement For SubQueries.mp4 19.4 MB
  • 9. BigQuery ~ Hive ~ OLAP/2. BigQuery Intro.mp4 19.2 MB
  • 18. VPCs and Interconnecting Networks/18. VPC Network Peering.mp4 19.0 MB
  • 4. Storage/9. Lab Running A Program On a VM Instance And Storing Results on Cloud Storage.mp4 19.0 MB
  • 18. VPCs and Interconnecting Networks/19. Lab VPC Peering.mp4 18.9 MB
  • 17. Virtual Machines and Images/2. Live Migration.mp4 18.9 MB
  • 10. Dataflow ~ Apache Beam/8. Lab Executing MapReduce In Dataflow In Python.mp4 18.8 MB
  • 21. Appendix Hadoop Ecosystem/4. MapReduce.mp4 18.7 MB
  • 8. Datastore ~ Document Database/2. Datastore.vtt 18.4 MB
  • 8. Datastore ~ Document Database/2. Datastore.mp4 18.4 MB
  • 4. Storage/3. Quick Take.mp4 18.3 MB
  • 19. Managed Instance Groups and Load Balancing/6. Backend Service and Backends.mp4 18.0 MB
  • 17. Virtual Machines and Images/3. Machine Types and Billing.mp4 18.0 MB
  • 19. Managed Instance Groups and Load Balancing/4. Overview of HTTP(S) Load Balancing.mp4 17.7 MB
  • 10. Dataflow ~ Apache Beam/2. Data Flow Intro.mp4 17.7 MB
  • 15. Regression in TensorFlow/7. Lab Multiple Regression in TensorFlow.mp4 17.6 MB
  • 9. BigQuery ~ Hive ~ OLAP/9. Lab Aggregations And Conditionals In Aggregations.mp4 17.4 MB
  • 9. BigQuery ~ Hive ~ OLAP/3. BigQuery Advanced.mp4 17.2 MB
  • 7. BigTable ~ HBase = Columnar Store/6. BigTable Performance.mp4 16.9 MB
  • 20. Ops and Security/2. StackDriver.mp4 16.8 MB
  • 15. Regression in TensorFlow/10. Lab Logistic Regression - Setting Up a Baseline.mp4 16.5 MB
  • 15. Regression in TensorFlow/16. Lab Linear Regression using Estimators.mp4 16.4 MB
  • 20. Ops and Security/13. Data Protection.mp4 16.2 MB
  • 19. Managed Instance Groups and Load Balancing/5. Forwarding Rules Target Proxy and Url Maps.mp4 16.1 MB
  • 15. Regression in TensorFlow/12. Softmax.mp4 16.0 MB
  • 20. Ops and Security/5. Lab Stackdriver Error Reporting and Debugging.mp4 15.9 MB
  • 14. TensorFlow and Machine Learning/28. XOR Trained.mp4 15.9 MB
  • 15. Regression in TensorFlow/13. Argmax.mp4 15.9 MB
  • 14. TensorFlow and Machine Learning/17. Lab Reading and Working with Images.mp4 15.8 MB
  • 11. Dataproc ~ Managed Hadoop/6. Lab Running The PySpark REPL Shell And Pig Scripts On Dataproc.mp4 15.8 MB
  • 11. Dataproc ~ Managed Hadoop/4. Lab Creating A Firewall Rule To Access Dataproc.mp4 15.7 MB
  • 9. BigQuery ~ Hive ~ OLAP/7. Lab Public Datasets In Big Query.mp4 15.5 MB
  • 18. VPCs and Interconnecting Networks/15. Dedicated Interconnect Direct and Carrier Peering.mp4 15.5 MB
  • 5. Cloud SQL, Cloud Spanner ~ OLTP ~ RDBMS/5. Lab Bulk Loading Data Into Cloud SQL Tables.mp4 15.3 MB
  • 21. Appendix Hadoop Ecosystem/6. Hive.mp4 15.2 MB
  • 11. Dataproc ~ Managed Hadoop/8. Lab Working With Dataproc Using The GCloud CLI.mp4 15.2 MB
  • 12. PubSub for Streaming/7. Lab Publishing Streaming Data Into Pubsub.mp4 15.2 MB
  • 20. Ops and Security/7. Lab Using Deployment Manager.mp4 15.1 MB
  • 11. Dataproc ~ Managed Hadoop/3. Lab Creating And Managing A Dataproc Cluster.mp4 15.0 MB
  • 14. TensorFlow and Machine Learning/24. Learning Algorithm.mp4 15.0 MB
  • 4. Storage/4. Cloud Storage.mp4 14.9 MB
  • 5. Cloud SQL, Cloud Spanner ~ OLTP ~ RDBMS/3. Lab Creating A Cloud SQL Instance.mp4 14.9 MB
  • 16. Vision, Translate, NLP and Speech Trained ML APIs/5. Lab The Vision API for Label and Landmark Detection.mp4 14.8 MB
  • 21. Appendix Hadoop Ecosystem/2. Hadoop.mp4 14.7 MB
  • 9. BigQuery ~ Hive ~ OLAP/4. Lab Loading CSV Data Into Big Query.mp4 14.6 MB
  • 21. Appendix Hadoop Ecosystem/10. Windowing Hive.mp4 14.5 MB
  • 17. Virtual Machines and Images/7. Images.mp4 14.5 MB
  • 3. Compute/9. Google Container Engine - Kubernetes (GKE).mp4 14.5 MB
  • 21. Appendix Hadoop Ecosystem/11. Pig.mp4 14.5 MB
  • 14. TensorFlow and Machine Learning/6. Lab Simple Math Operations.mp4 14.3 MB
  • 19. Managed Instance Groups and Load Balancing/13. Internal Load Balancing.mp4 14.1 MB
  • 21. Appendix Hadoop Ecosystem/13. Spark.mp4 14.1 MB
  • 18. VPCs and Interconnecting Networks/6. Routes.mp4 14.1 MB
  • 14. TensorFlow and Machine Learning/27. Learning XOR.mp4 14.0 MB
  • 2. Introduction/2. Lab Setting Up A GCP Account.mp4 14.0 MB
  • 14. TensorFlow and Machine Learning/7. Computation Graph.mp4 14.0 MB
  • 14. TensorFlow and Machine Learning/13. Lab Variables.mp4 14.0 MB
  • 18. VPCs and Interconnecting Networks/5. Lab Working with Static IP Addresses.mp4 13.9 MB
  • 14. TensorFlow and Machine Learning/3. Representation Learning.mp4 13.9 MB
  • 2. Introduction/1. Theory, Practice and Tests.mp4 13.7 MB
  • 5. Cloud SQL, Cloud Spanner ~ OLTP ~ RDBMS/7. More Cloud Spanner.mp4 13.5 MB
  • 17. Virtual Machines and Images/8. Startup Scripts And Baked Images.mp4 13.5 MB
  • 17. Virtual Machines and Images/4. Sustained Use and Committed Use Discounts.mp4 13.5 MB
  • 3. Compute/10. More GKE.mp4 13.5 MB
  • 21. Appendix Hadoop Ecosystem/15. Streams Intro.mp4 13.4 MB
  • 14. TensorFlow and Machine Learning/10. Linear Regression Intro.mp4 13.4 MB
  • 14. TensorFlow and Machine Learning/25. Individual Neuron.mp4 13.3 MB
  • 18. VPCs and Interconnecting Networks/11. Cloud VPN.mp4 13.3 MB
  • 11. Dataproc ~ Managed Hadoop/5. Lab Running A PySpark Job On Dataproc.mp4 13.3 MB
  • 15. Regression in TensorFlow/8. Logistic Regression Introduced.mp4 13.2 MB
  • 4. Storage/2. Storage Options.mp4 13.2 MB
  • 7. BigTable ~ HBase = Columnar Store/8. Lab BigTable demo.mp4 13.2 MB
  • 3. Compute/2. Compute Options.mp4 13.1 MB
  • 12. PubSub for Streaming/2. Pub Sub.mp4 13.1 MB
  • 9. BigQuery ~ Hive ~ OLAP/8. Lab Using Big Query Via The Command Line.mp4 13.1 MB
  • 13. Datalab ~ Jupyter/5. Lab Using The Charting API In Datalab.mp4 13.0 MB
  • 3. Compute/14. Lab Deploy And Run An App Engine App.mp4 13.0 MB
  • 7. BigTable ~ HBase = Columnar Store/4. Denormalised.mp4 12.9 MB
  • 9. BigQuery ~ Hive ~ OLAP/6. Lab Loading JSON Data With Nested Tables.mp4 12.8 MB
  • 15. Regression in TensorFlow/5. Gradient Descent.mp4 12.8 MB
  • 14. TensorFlow and Machine Learning/22. Steps in the K-Nearest-Neighbors Implementation.mp4 12.7 MB
  • 19. Managed Instance Groups and Load Balancing/9. Lab Content Based Load Balancing.mp4 12.6 MB
  • 11. Dataproc ~ Managed Hadoop/2. Data Proc.mp4 12.6 MB
  • 10. Dataflow ~ Apache Beam/11. Lab Dataflow With Big Query As Source And Side Inputs 2.mp4 12.6 MB
  • 21. Appendix Hadoop Ecosystem/12. More Pig.mp4 12.6 MB
  • 21. Appendix Hadoop Ecosystem/8. HQL vs. SQL.mp4 12.3 MB
  • 12. PubSub for Streaming/9. Lab Executing A Pipeline To Read Streaming Data And Write To BigQuery.mp4 12.2 MB
  • 3. Compute/11. Lab Creating A Kubernetes Cluster And Deploying A Wordpress Container.mp4 12.1 MB
  • 14. TensorFlow and Machine Learning/18. Lab Image Transformations.mp4 12.0 MB
  • 14. TensorFlow and Machine Learning/11. Placeholders and Variables.mp4 12.0 MB
  • 5. Cloud SQL, Cloud Spanner ~ OLTP ~ RDBMS/4. Lab Running Commands On Cloud SQL Instance.mp4 11.9 MB
  • 14. TensorFlow and Machine Learning/8. Tensors.mp4 11.9 MB
  • 21. Appendix Hadoop Ecosystem/7. Hive vs. RDBMS.mp4 11.9 MB
  • 10. Dataflow ~ Apache Beam/9. Lab Executing MapReduce In Dataflow In Java.mp4 11.9 MB
  • 7. BigTable ~ HBase = Columnar Store/3. Columnar Store.mp4 11.6 MB
  • 12. PubSub for Streaming/5. Lab Setting Up A Pubsub Publisher Using The Python Library.mp4 11.6 MB
  • 14. TensorFlow and Machine Learning/12. Lab Placeholders.mp4 11.6 MB
  • 8. Datastore ~ Document Database/3. Lab Datastore demo.mp4 11.5 MB
  • 14. TensorFlow and Machine Learning/16. Images As Tensors.mp4 11.4 MB
  • 3. Compute/4. Lab Creating a VM Instance.mp4 11.4 MB
  • 2. Introduction/3. Lab Using The Cloud Shell.mp4 11.3 MB
  • 18. VPCs and Interconnecting Networks/17. Lab Shared VPCs.mp4 11.2 MB
  • 21. Appendix Hadoop Ecosystem/9. OLAP in Hive.mp4 11.2 MB
  • 3. Compute/5. More GCE.mp4 11.2 MB
  • 5. Cloud SQL, Cloud Spanner ~ OLTP ~ RDBMS/8. Lab Working With Cloud Spanner.mp4 11.2 MB
  • 14. TensorFlow and Machine Learning/15. Image Processing.mp4 11.1 MB
  • 14. TensorFlow and Machine Learning/4. NN Introduced.vtt 11.1 MB
  • 14. TensorFlow and Machine Learning/4. NN Introduced.mp4 11.1 MB
  • 15. Regression in TensorFlow/11. Logit.mp4 11.1 MB
  • 4. Storage/5. Lab Working With Cloud Storage Buckets.mp4 11.1 MB
  • 21. Appendix Hadoop Ecosystem/5. Yarn.mp4 11.0 MB
  • 7. BigTable ~ HBase = Columnar Store/5. Column Families.mp4 11.0 MB
  • 12. PubSub for Streaming/3. Lab Working With Pubsub On The Command Line.mp4 10.9 MB
  • 7. BigTable ~ HBase = Columnar Store/2. BigTable Intro.mp4 10.8 MB
  • 15. Regression in TensorFlow/3. Non TensorFlow Regression.mp4 10.7 MB
  • 3. Compute/3. Google Compute Engine (GCE).mp4 10.6 MB
  • 15. Regression in TensorFlow/17. Lab Logistic Regression using Estimators.mp4 10.6 MB
  • 5. Cloud SQL, Cloud Spanner ~ OLTP ~ RDBMS/2. Cloud SQL.mp4 10.6 MB
  • 14. TensorFlow and Machine Learning/26. Learning Regression.mp4 10.5 MB
  • 4. Storage/11. Lab Migrating Data Using The Transfer Service.mp4 10.5 MB
  • 14. TensorFlow and Machine Learning/2. Introducing Machine Learning.mp4 10.5 MB
  • 19. Managed Instance Groups and Load Balancing/3. Types of Load Balancing.mp4 10.4 MB
  • 9. BigQuery ~ Hive ~ OLAP/10. Lab Subqueries And Joins.mp4 10.4 MB
  • 18. VPCs and Interconnecting Networks/20. Cloud DNS And Legacy Networks.mp4 10.3 MB
  • 10. Dataflow ~ Apache Beam/7. Lab Executing The Word Count Dataflow.mp4 10.2 MB
  • 20. Ops and Security/3. StackDriver Logging.mp4 10.1 MB
  • 9. BigQuery ~ Hive ~ OLAP/11. Lab Regular Expressions In Legacy SQL.mp4 10.1 MB
  • 19. Managed Instance Groups and Load Balancing/10. SSL Proxy and TCP Proxy Load Balancing.mp4 10.0 MB
  • 5. Cloud SQL, Cloud Spanner ~ OLTP ~ RDBMS/6. Cloud Spanner.mp4 10.0 MB
  • 3. Compute/7. Lab Creating a VM Instance Using The Command Line.mp4 9.9 MB
  • 9. BigQuery ~ Hive ~ OLAP/5. Lab Running Queries On Big Query.mp4 9.9 MB
  • 14. TensorFlow and Machine Learning/21. One-hot Notation and L1 Distance.mp4 9.7 MB
  • 14. TensorFlow and Machine Learning/20. K-Nearest Neigbors.mp4 9.7 MB
  • 3. Compute/12. App Engine.mp4 9.7 MB
  • 14. TensorFlow and Machine Learning/5. Introducing TF.mp4 9.7 MB
  • 19. Managed Instance Groups and Load Balancing/12. Network Load Balancing.mp4 9.6 MB
  • 3. Compute/6. Lab Editing a VM Instance.mp4 9.0 MB
  • 12. PubSub for Streaming/6. Lab Setting Up A Pubsub Subscriber Using The Python Library.mp4 9.0 MB
  • 1. You, This Course and Us/1. You, This Course and Us.mp4 9.0 MB
  • 4. Storage/7. Lab Life cycle Management On Buckets.mp4 9.0 MB
  • 14. TensorFlow and Machine Learning/9. Lab Tensors.mp4 8.8 MB
  • 3. Compute/13. Contrasting App Engine, Compute Engine and Container Engine.mp4 8.6 MB
  • 14. TensorFlow and Machine Learning/14. Lab Linear Regression with Made-up Data.mp4 8.6 MB
  • 20. Ops and Security/6. Cloud Deployment Manager.mp4 8.5 MB
  • 19. Managed Instance Groups and Load Balancing/7. Load Distribution and Firewall Rules.mp4 8.2 MB
  • 21. Appendix Hadoop Ecosystem/16. Microbatches.mp4 8.0 MB
  • 21. Appendix Hadoop Ecosystem/17. Window Types.mp4 7.9 MB
  • 12. PubSub for Streaming/4. Lab Working With PubSub Using The Web Console.mp4 7.9 MB
  • 3. Compute/8. Lab Creating And Attaching A Persistent Disk.mp4 7.6 MB
  • 4. Storage/6. Lab Bucket And Object Permissions.mp4 7.4 MB
  • 15. Regression in TensorFlow/9. Linear Classification.mp4 7.3 MB
  • 4. Storage/10. Transfer Service.mp4 6.7 MB
  • 14. TensorFlow and Machine Learning/19. Introducing MNIST.mp4 5.8 MB
  • 15. Regression in TensorFlow/2. Lab Access Data from Yahoo Finance.mp4 5.6 MB
  • 15. Regression in TensorFlow/15. Estimators.mp4 5.6 MB
  • 20. Ops and Security/9. Cloud Endpoints.mp4 5.5 MB
  • 10. Dataflow ~ Apache Beam/3. Apache Beam.mp4 5.3 MB
  • 11. Dataproc ~ Managed Hadoop/7. Lab Submitting A Spark Jar To Dataproc.mp4 4.6 MB
  • 17. Virtual Machines and Images/5. Rightsizing Recommendations.mp4 4.3 MB
  • 13. Datalab ~ Jupyter/2. Data Lab.mp4 3.9 MB
  • 17. Virtual Machines and Images/6. RAM Disk.mp4 3.8 MB
  • 21. Appendix Hadoop Ecosystem/1. Introducing the Hadoop Ecosystem.mp4 1.8 MB
  • 14. TensorFlow and Machine Learning/10.1 TensorFlowSourceCode.zip.zip 96.7 kB
  • 14. TensorFlow and Machine Learning/11.1 TensorFlowSourceCode.zip.zip 96.7 kB
  • 14. TensorFlow and Machine Learning/12.1 TensorFlowSourceCode.zip.zip 96.7 kB
  • 14. TensorFlow and Machine Learning/13.1 TensorFlowSourceCode.zip.zip 96.7 kB
  • 14. TensorFlow and Machine Learning/14.1 TensorFlowSourceCode.zip.zip 96.7 kB
  • 14. TensorFlow and Machine Learning/15.1 TensorFlowSourceCode.zip.zip 96.7 kB
  • 14. TensorFlow and Machine Learning/16.1 TensorFlowSourceCode.zip.zip 96.7 kB
  • 14. TensorFlow and Machine Learning/17.1 TensorFlowSourceCode.zip.zip 96.7 kB
  • 14. TensorFlow and Machine Learning/18.1 TensorFlowSourceCode.zip.zip 96.7 kB
  • 14. TensorFlow and Machine Learning/19.1 TensorFlowSourceCode.zip.zip 96.7 kB
  • 14. TensorFlow and Machine Learning/20.1 TensorFlowSourceCode.zip.zip 96.7 kB
  • 14. TensorFlow and Machine Learning/21.1 TensorFlowSourceCode.zip.zip 96.7 kB
  • 14. TensorFlow and Machine Learning/2.1 TensorFlowSourceCode.zip.zip 96.7 kB
  • 14. TensorFlow and Machine Learning/22.1 TensorFlowSourceCode.zip.zip 96.7 kB
  • 14. TensorFlow and Machine Learning/23.1 TensorFlowSourceCode.zip.zip 96.7 kB
  • 14. TensorFlow and Machine Learning/24.1 TensorFlowSourceCode.zip.zip 96.7 kB
  • 14. TensorFlow and Machine Learning/25.1 TensorFlowSourceCode.zip.zip 96.7 kB
  • 14. TensorFlow and Machine Learning/26.1 TensorFlowSourceCode.zip.zip 96.7 kB
  • 14. TensorFlow and Machine Learning/27.1 TensorFlowSourceCode.zip.zip 96.7 kB
  • 14. TensorFlow and Machine Learning/28.1 TensorFlowSourceCode.zip.zip 96.7 kB
  • 14. TensorFlow and Machine Learning/3.1 TensorFlowSourceCode.zip.zip 96.7 kB
  • 14. TensorFlow and Machine Learning/4.1 TensorFlowSourceCode.zip.zip 96.7 kB
  • 14. TensorFlow and Machine Learning/5.1 TensorFlowSourceCode.zip.zip 96.7 kB
  • 14. TensorFlow and Machine Learning/6.1 TensorFlowSourceCode.zip.zip 96.7 kB
  • 14. TensorFlow and Machine Learning/7.1 TensorFlowSourceCode.zip.zip 96.7 kB
  • 14. TensorFlow and Machine Learning/8.1 TensorFlowSourceCode.zip.zip 96.7 kB
  • 14. TensorFlow and Machine Learning/9.1 TensorFlowSourceCode.zip.zip 96.7 kB
  • 15. Regression in TensorFlow/10.1 TensorFlowSourceCode.zip.zip 96.7 kB
  • 15. Regression in TensorFlow/11.1 TensorFlowSourceCode.zip.zip 96.7 kB
  • 15. Regression in TensorFlow/12.1 TensorFlowSourceCode.zip.zip 96.7 kB
  • 15. Regression in TensorFlow/13.1 TensorFlowSourceCode.zip.zip 96.7 kB
  • 15. Regression in TensorFlow/14.1 TensorFlowSourceCode.zip.zip 96.7 kB
  • 15. Regression in TensorFlow/15.1 TensorFlowSourceCode.zip.zip 96.7 kB
  • 15. Regression in TensorFlow/16.1 TensorFlowSourceCode.zip.zip 96.7 kB
  • 15. Regression in TensorFlow/17.1 TensorFlowSourceCode.zip.zip 96.7 kB
  • 15. Regression in TensorFlow/2.1 TensorFlowSourceCode.zip.zip 96.7 kB
  • 15. Regression in TensorFlow/3.1 TensorFlowSourceCode.zip.zip 96.7 kB
  • 15. Regression in TensorFlow/4.1 TensorFlowSourceCode.zip.zip 96.7 kB
  • 15. Regression in TensorFlow/5.1 TensorFlowSourceCode.zip.zip 96.7 kB
  • 15. Regression in TensorFlow/6.1 TensorFlowSourceCode.zip.zip 96.7 kB
  • 15. Regression in TensorFlow/7.1 TensorFlowSourceCode.zip.zip 96.7 kB
  • 15. Regression in TensorFlow/8.1 TensorFlowSourceCode.zip.zip 96.7 kB
  • 15. Regression in TensorFlow/9.1 TensorFlowSourceCode.zip.zip 96.7 kB
  • 1. You, This Course and Us/2.2 TensorFlowSourceCode.zip.zip 96.7 kB
  • 10. Dataflow ~ Apache Beam/10. Lab Dataflow With Big Query As Source And Side Inputs.vtt 20.2 kB
  • 16. Vision, Translate, NLP and Speech Trained ML APIs/2. Lab Taxicab Prediction - Setting up the dataset.vtt 18.4 kB
  • 7. BigTable ~ HBase = Columnar Store/6. BigTable Performance.vtt 18.4 kB
  • 15. Regression in TensorFlow/6. Lab Linear Regression.vtt 18.2 kB
  • 10. Dataflow ~ Apache Beam/5. Lab Running A Java Data flow Program.vtt 17.5 kB
  • 14. TensorFlow and Machine Learning/23. Lab K-Nearest-Neighbors.vtt 17.1 kB
  • 10. Dataflow ~ Apache Beam/4. Lab Running A Python Data flow Program.vtt 16.9 kB
  • 13. Datalab ~ Jupyter/4. Lab Importing And Exporting Data Using Datalab.vtt 15.2 kB
  • 21. Appendix Hadoop Ecosystem/14. More Spark.vtt 14.9 kB
  • 16. Vision, Translate, NLP and Speech Trained ML APIs/3. Lab Taxicab Prediction - Training and Running the model.vtt 14.9 kB
  • 14. TensorFlow and Machine Learning/28. XOR Trained.vtt 14.8 kB
  • 14. TensorFlow and Machine Learning/24. Learning Algorithm.vtt 14.7 kB
  • 10. Dataflow ~ Apache Beam/2. Data Flow Intro.vtt 14.5 kB
  • 14. TensorFlow and Machine Learning/3. Representation Learning.vtt 14.4 kB
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