[CourseClub.Me] Pluralsight - Google Cloud Big Data and Machine Learning Fundamentals - 磁力管家

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文档列表

04. Big Data with BigQuery/03. BigQuery demo - San Francisco bike share.mp4 31.4 MB
02. Big Data and Machine Learning on Google Cloud/03. Compute.mp4 12.9 MB
02. Big Data and Machine Learning on Google Cloud/08. Pluralsight - Getting Started with GCP and Qwiklabs.mp4 10.1 MB
03. Data Engineering for Streaming Data/03. Message-oriented architecture.mp4 9.6 MB
5. Machine Learning Options on Google Cloud/4. AutoML.mp4 9.4 MB
02. Big Data and Machine Learning on Google Cloud/04. Storage.mp4 8.3 MB
1. Course Introduction/2. Course introduction.mp4 8.1 MB
04. Big Data with BigQuery/05. Using BigQuery ML to predict customer lifetime value.mp4 8.0 MB
06. The Machine Learning Workflow with Vertex AI/01. Introduction.mp4 7.8 MB
7. Course Summary/1. Course summary.mp4 7.6 MB
04. Big Data with BigQuery/01. Introduction.mp4 7.4 MB
04. Big Data with BigQuery/04. Introduction to BigQuery ML.mp4 7.2 MB
06. The Machine Learning Workflow with Vertex AI/04. Model evaluation.mp4 6.9 MB
06. The Machine Learning Workflow with Vertex AI/03. Model training.mp4 6.4 MB
02. Big Data and Machine Learning on Google Cloud/07. Customer example - Gojek.mp4 6.3 MB
03. Data Engineering for Streaming Data/05. Implementing streaming pipelines on Cloud Dataflow.mp4 6.2 MB
02. Big Data and Machine Learning on Google Cloud/05. The history of big data and ML products.mp4 5.9 MB
5. Machine Learning Options on Google Cloud/2. Options to build ML models.mp4 5.9 MB
04. Big Data with BigQuery/07. BigQuery ML key commands.mp4 5.7 MB
5. Machine Learning Options on Google Cloud/6. Vertex AI.mp4 5.6 MB
06. The Machine Learning Workflow with Vertex AI/05. Model deployment and monitoring.mp4 5.6 MB
1. Course Introduction/1. Meet the author.mp4 5.5 MB
04. Big Data with BigQuery/02. Storage and analytics.mp4 5.5 MB
03. Data Engineering for Streaming Data/06. Visualization with Looker.mp4 5.3 MB
03. Data Engineering for Streaming Data/01. Introduction.mp4 5.1 MB
06. The Machine Learning Workflow with Vertex AI/02. Data preparation.mp4 4.8 MB
06. The Machine Learning Workflow with Vertex AI/08. Lab recap - Predicting loan risk with AutoML.mp4 4.2 MB
02. Big Data and Machine Learning on Google Cloud/02. Google Cloud infrastructure.mp4 4.2 MB
03. Data Engineering for Streaming Data/04. Designing streaming pipelines with Apache Beam.mp4 4.2 MB
03. Data Engineering for Streaming Data/02. Big data challenges.mp4 4.2 MB
5. Machine Learning Options on Google Cloud/3. Pre-built APIs.mp4 3.9 MB
02. Big Data and Machine Learning on Google Cloud/06. Big data and ML product categories.mp4 3.9 MB
5. Machine Learning Options on Google Cloud/1. Introduction.mp4 3.9 MB
04. Big Data with BigQuery/06. BigQuery ML project phases.mp4 3.6 MB
02. Big Data and Machine Learning on Google Cloud/01. Introduction.mp4 3.2 MB
5. Machine Learning Options on Google Cloud/7. AI Solutions.mp4 3.1 MB
5. Machine Learning Options on Google Cloud/8. Summary.mp4 3.1 MB
04. Big Data with BigQuery/10. Summary.mp4 2.8 MB
03. Data Engineering for Streaming Data/07. Visualization with Data Studio.mp4 2.5 MB
5. Machine Learning Options on Google Cloud/5. Custom training.mp4 2.1 MB
02. Big Data and Machine Learning on Google Cloud/11. Summary.mp4 2.0 MB
03. Data Engineering for Streaming Data/10. Summary.mp4 1.8 MB
03. Data Engineering for Streaming Data/08. Lab introduction - Creating a streaming data pipeline for a Real-Time dashboar.mp4 1.7 MB
04. Big Data with BigQuery/08. Lab introduction - Predicting Visitor Purchases Using BigQuery ML.mp4 1.3 MB
02. Big Data and Machine Learning on Google Cloud/09. Lab introduction - Exploring a BigQuery Public Dataset.mp4 1.3 MB
06. The Machine Learning Workflow with Vertex AI/09. Summary.mp4 1.2 MB
06. The Machine Learning Workflow with Vertex AI/06. Lab introduction - Predicting loan risk with AutoML.mp4 789.3 kB
04. Big Data with BigQuery/03. BigQuery demo - San Francisco bike share.vtt 18.9 kB
5. Machine Learning Options on Google Cloud/4. AutoML.vtt 10.6 kB
04. Big Data with BigQuery/01. Introduction.vtt 7.8 kB
02. Big Data and Machine Learning on Google Cloud/04. Storage.vtt 7.7 kB
06. The Machine Learning Workflow with Vertex AI/01. Introduction.vtt 7.7 kB
03. Data Engineering for Streaming Data/03. Message-oriented architecture.vtt 7.3 kB
02. Big Data and Machine Learning on Google Cloud/03. Compute.vtt 7.1 kB
06. The Machine Learning Workflow with Vertex AI/04. Model evaluation.vtt 7.0 kB
04. Big Data with BigQuery/05. Using BigQuery ML to predict customer lifetime value.vtt 6.8 kB
1. Course Introduction/2. Course introduction.vtt 6.7 kB
04. Big Data with BigQuery/04. Introduction to BigQuery ML.vtt 6.4 kB
7. Course Summary/1. Course summary.vtt 6.2 kB
06. The Machine Learning Workflow with Vertex AI/03. Model training.vtt 5.9 kB
02. Big Data and Machine Learning on Google Cloud/08. Pluralsight - Getting Started with GCP and Qwiklabs.vtt 5.8 kB
02. Big Data and Machine Learning on Google Cloud/05. The history of big data and ML products.vtt 5.7 kB
02. Big Data and Machine Learning on Google Cloud/07. Customer example - Gojek.vtt 5.6 kB
5. Machine Learning Options on Google Cloud/2. Options to build ML models.vtt 5.5 kB
5. Machine Learning Options on Google Cloud/6. Vertex AI.vtt 5.5 kB
06. The Machine Learning Workflow with Vertex AI/05. Model deployment and monitoring.vtt 5.3 kB
04. Big Data with BigQuery/02. Storage and analytics.vtt 5.0 kB
04. Big Data with BigQuery/07. BigQuery ML key commands.vtt 5.0 kB
06. The Machine Learning Workflow with Vertex AI/02. Data preparation.vtt 4.7 kB
03. Data Engineering for Streaming Data/05. Implementing streaming pipelines on Cloud Dataflow.vtt 4.7 kB
06. The Machine Learning Workflow with Vertex AI/08. Lab recap - Predicting loan risk with AutoML.vtt 4.4 kB
03. Data Engineering for Streaming Data/06. Visualization with Looker.vtt 4.2 kB
03. Data Engineering for Streaming Data/01. Introduction.vtt 4.0 kB
5. Machine Learning Options on Google Cloud/7. AI Solutions.vtt 3.5 kB
5. Machine Learning Options on Google Cloud/1. Introduction.vtt 3.4 kB
02. Big Data and Machine Learning on Google Cloud/02. Google Cloud infrastructure.vtt 3.3 kB
02. Big Data and Machine Learning on Google Cloud/06. Big data and ML product categories.vtt 3.2 kB
03. Data Engineering for Streaming Data/04. Designing streaming pipelines with Apache Beam.vtt 3.2 kB
5. Machine Learning Options on Google Cloud/3. Pre-built APIs.vtt 3.1 kB
02. Big Data and Machine Learning on Google Cloud/01. Introduction.vtt 3.1 kB
5. Machine Learning Options on Google Cloud/8. Summary.vtt 3.0 kB
03. Data Engineering for Streaming Data/02. Big data challenges.vtt 2.9 kB
04. Big Data with BigQuery/06. BigQuery ML project phases.vtt 2.9 kB
04. Big Data with BigQuery/10. Summary.vtt 2.4 kB
03. Data Engineering for Streaming Data/07. Visualization with Data Studio.vtt 2.2 kB
5. Machine Learning Options on Google Cloud/5. Custom training.vtt 2.0 kB
02. Big Data and Machine Learning on Google Cloud/11. Summary.vtt 1.8 kB
1. Course Introduction/1. Meet the author.vtt 1.6 kB
03. Data Engineering for Streaming Data/08. Lab introduction - Creating a streaming data pipeline for a Real-Time dashboar.vtt 1.4 kB
04. Big Data with BigQuery/08. Lab introduction - Predicting Visitor Purchases Using BigQuery ML.vtt 1.3 kB
03. Data Engineering for Streaming Data/10. Summary.vtt 1.3 kB
02. Big Data and Machine Learning on Google Cloud/09. Lab introduction - Exploring a BigQuery Public Dataset.vtt 1.2 kB
06. The Machine Learning Workflow with Vertex AI/09. Summary.vtt 1.2 kB
06. The Machine Learning Workflow with Vertex AI/06. Lab introduction - Predicting loan risk with AutoML.vtt 854 Bytes
[CourseClub.Me].url 66 Bytes

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