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4. Building a Reproducible Machine Learning Pipeline/3. Designing a Custom Pipeline.mp4 160.3 MB
2. Machine Learning Pipeline - Research Environment/6. Data Analysis - Demo.mp4 142.0 MB
2. Machine Learning Pipeline - Research Environment/7. Feature Engineering - Demo.mp4 102.9 MB
13. A Deep Learning Model with Big Data/3. Building a CNN in the Research Environment.mp4 93.1 MB
4. Building a Reproducible Machine Learning Pipeline/2. Procedural Programming Pipeline.mp4 90.4 MB
4. Building a Reproducible Machine Learning Pipeline/5. Third Party Pipeline Create Scikit-Learn compatible Feature Transformers.mp4 88.4 MB
13. A Deep Learning Model with Big Data/4. Production Code for a CNN Learning Pipeline.mp4 83.4 MB
5. Course Setup and Key Tools/9. Section5.5b - Virtualenv Introduction.mp4 83.2 MB
7. Serving the model via REST API/7. 7.6 - API Schema Validation.mp4 81.9 MB
3. Machine Learning System Architecture/5. Building a Reproducible Machine Learning Pipeline.mp4 80.8 MB
6. Creating a Machine Learning Pipeline Application/9. 6.8 - Building the Package.mp4 79.6 MB
13. A Deep Learning Model with Big Data/8. 13.8 - Packaging the CNN.mp4 75.4 MB
6. Creating a Machine Learning Pipeline Application/8. 6.7 - Versioning and Logging.mp4 73.9 MB
8. Continuous Integration and Deployment Pipelines/4. 8.4 - Publishing the Model to Gemfury.mp4 72.5 MB
2. Machine Learning Pipeline - Research Environment/10. Getting Ready for Deployment - Demo.mp4 71.1 MB
2. Machine Learning Pipeline - Research Environment/1. Machine Learning Pipeline Overview.mp4 63.5 MB
12. Deploying to IaaS (AWS ECS)/12. 12.11 - Creating the ECS Cluster with the EC2 Launch Method.mp4 62.8 MB
2. Machine Learning Pipeline - Research Environment/2. Machine Learning Pipeline Feature Engineering.mp4 60.5 MB
4. Building a Reproducible Machine Learning Pipeline/4. Leveraging a Third Party Pipeline Scikit-Learn.mp4 59.4 MB
8. Continuous Integration and Deployment Pipelines/3. 8.3 - Setup Circle CI Config.mp4 53.3 MB