| Deploying Scalable Machine Learning for Data Science/5.4. Running ML Services in Containers/19.Example Docker build process.mp4 |
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| Deploying Scalable Machine Learning for Data Science/1.Introduction/01.Scaling ML models.mp4 |
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| Deploying Scalable Machine Learning for Data Science/1.Introduction/02.What you should know.en.srt |
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| Deploying Scalable Machine Learning for Data Science/1.Introduction/02.What you should know.mp4 |
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| Deploying Scalable Machine Learning for Data Science/2.1. The Need to Scale ML Models/03.Building and running ML models for data scientists.en.srt |
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| Deploying Scalable Machine Learning for Data Science/2.1. The Need to Scale ML Models/03.Building and running ML models for data scientists.mp4 |
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| Deploying Scalable Machine Learning for Data Science/2.1. The Need to Scale ML Models/04.Building and deploying ML models for production use.en.srt |
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| Deploying Scalable Machine Learning for Data Science/2.1. The Need to Scale ML Models/04.Building and deploying ML models for production use.mp4 |
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| Deploying Scalable Machine Learning for Data Science/2.1. The Need to Scale ML Models/05.Definition of scaling ML for production.en.srt |
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| Deploying Scalable Machine Learning for Data Science/2.1. The Need to Scale ML Models/05.Definition of scaling ML for production.mp4 |
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| Deploying Scalable Machine Learning for Data Science/2.1. The Need to Scale ML Models/06.Overview of tools and techniques for scalable ML.en.srt |
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| Deploying Scalable Machine Learning for Data Science/2.1. The Need to Scale ML Models/06.Overview of tools and techniques for scalable ML.mp4 |
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| Deploying Scalable Machine Learning for Data Science/3.2. Design Patterns for Scalable ML Applications/07.Horizontal vs. vertical scaling.en.srt |
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| Deploying Scalable Machine Learning for Data Science/3.2. Design Patterns for Scalable ML Applications/07.Horizontal vs. vertical scaling.mp4 |
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| Deploying Scalable Machine Learning for Data Science/3.2. Design Patterns for Scalable ML Applications/08.Running models as services.en.srt |
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| Deploying Scalable Machine Learning for Data Science/3.2. Design Patterns for Scalable ML Applications/08.Running models as services.mp4 |
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| Deploying Scalable Machine Learning for Data Science/3.2. Design Patterns for Scalable ML Applications/09.APIs for ML model services.en.srt |
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| Deploying Scalable Machine Learning for Data Science/3.2. Design Patterns for Scalable ML Applications/09.APIs for ML model services.mp4 |
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| Deploying Scalable Machine Learning for Data Science/3.2. Design Patterns for Scalable ML Applications/10.Load balancing and clusters of servers.en.srt |
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| Deploying Scalable Machine Learning for Data Science/3.2. Design Patterns for Scalable ML Applications/10.Load balancing and clusters of servers.mp4 |
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| Deploying Scalable Machine Learning for Data Science/3.2. Design Patterns for Scalable ML Applications/11.Scaling horizontally with containers.en.srt |
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| Deploying Scalable Machine Learning for Data Science/3.2. Design Patterns for Scalable ML Applications/11.Scaling horizontally with containers.mp4 |
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| Deploying Scalable Machine Learning for Data Science/4.3. Deploying ML Models as Services/12.Services encapsulate ML models.en.srt |
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| Deploying Scalable Machine Learning for Data Science/4.3. Deploying ML Models as Services/12.Services encapsulate ML models.mp4 |
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| Deploying Scalable Machine Learning for Data Science/4.3. Deploying ML Models as Services/13.Using Plumber to create APIs for R programs.en.srt |
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| Deploying Scalable Machine Learning for Data Science/4.3. Deploying ML Models as Services/13.Using Plumber to create APIs for R programs.mp4 |
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| Deploying Scalable Machine Learning for Data Science/4.3. Deploying ML Models as Services/14.Using Flask to create APIs for Python programs.en.srt |
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| Deploying Scalable Machine Learning for Data Science/4.3. Deploying ML Models as Services/14.Using Flask to create APIs for Python programs.mp4 |
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| Deploying Scalable Machine Learning for Data Science/4.3. Deploying ML Models as Services/15.Best practices for API design for ML services.en.srt |
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| Deploying Scalable Machine Learning for Data Science/4.3. Deploying ML Models as Services/15.Best practices for API design for ML services.mp4 |
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| Deploying Scalable Machine Learning for Data Science/5.4. Running ML Services in Containers/16.Containers bundle ML model components.en.srt |
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| Deploying Scalable Machine Learning for Data Science/5.4. Running ML Services in Containers/16.Containers bundle ML model components.mp4 |
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| Deploying Scalable Machine Learning for Data Science/5.4. Running ML Services in Containers/17.Introduction to Docker.en.srt |
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| Deploying Scalable Machine Learning for Data Science/5.4. Running ML Services in Containers/17.Introduction to Docker.mp4 |
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| Deploying Scalable Machine Learning for Data Science/5.4. Running ML Services in Containers/18.Building Docker images with Dockerfiles.en.srt |
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| Deploying Scalable Machine Learning for Data Science/5.4. Running ML Services in Containers/18.Building Docker images with Dockerfiles.mp4 |
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| Deploying Scalable Machine Learning for Data Science/5.4. Running ML Services in Containers/19.Example Docker build process.en.srt |
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| Deploying Scalable Machine Learning for Data Science/1.Introduction/01.Scaling ML models.en.srt |
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| Deploying Scalable Machine Learning for Data Science/5.4. Running ML Services in Containers/20.Using Docker registries to manage images.en.srt |
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| Deploying Scalable Machine Learning for Data Science/5.4. Running ML Services in Containers/20.Using Docker registries to manage images.mp4 |
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| Deploying Scalable Machine Learning for Data Science/6.5. Scaling ML Services with Kubernetes/21.Running services in clusters.en.srt |
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| Deploying Scalable Machine Learning for Data Science/6.5. Scaling ML Services with Kubernetes/21.Running services in clusters.mp4 |
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| Deploying Scalable Machine Learning for Data Science/6.5. Scaling ML Services with Kubernetes/22.Introduction to Kubernetes.en.srt |
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| Deploying Scalable Machine Learning for Data Science/6.5. Scaling ML Services with Kubernetes/22.Introduction to Kubernetes.mp4 |
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| Deploying Scalable Machine Learning for Data Science/6.5. Scaling ML Services with Kubernetes/23.Creating a Kubernetes cluster.en.srt |
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| Deploying Scalable Machine Learning for Data Science/6.5. Scaling ML Services with Kubernetes/23.Creating a Kubernetes cluster.mp4 |
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| Deploying Scalable Machine Learning for Data Science/6.5. Scaling ML Services with Kubernetes/24.Deploying containers in a Kubernetes cluster.en.srt |
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| Deploying Scalable Machine Learning for Data Science/6.5. Scaling ML Services with Kubernetes/24.Deploying containers in a Kubernetes cluster.mp4 |
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| Deploying Scalable Machine Learning for Data Science/6.5. Scaling ML Services with Kubernetes/25.Scaling up a Kubernetes cluster.en.srt |
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| Deploying Scalable Machine Learning for Data Science/6.5. Scaling ML Services with Kubernetes/25.Scaling up a Kubernetes cluster.mp4 |
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| Deploying Scalable Machine Learning for Data Science/6.5. Scaling ML Services with Kubernetes/26.Autoscaling a Kubernetes cluster.en.srt |
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| Deploying Scalable Machine Learning for Data Science/6.5. Scaling ML Services with Kubernetes/26.Autoscaling a Kubernetes cluster.mp4 |
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| Deploying Scalable Machine Learning for Data Science/7.6. ML Services in Production/27.Monitoring service performance.en.srt |
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| Deploying Scalable Machine Learning for Data Science/7.6. ML Services in Production/27.Monitoring service performance.mp4 |
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| Deploying Scalable Machine Learning for Data Science/7.6. ML Services in Production/28.Service performance data.en.srt |
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| Deploying Scalable Machine Learning for Data Science/7.6. ML Services in Production/28.Service performance data.mp4 |
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| Deploying Scalable Machine Learning for Data Science/7.6. ML Services in Production/29.Docker container monitoring.en.srt |
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| Deploying Scalable Machine Learning for Data Science/7.6. ML Services in Production/29.Docker container monitoring.mp4 |
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| Deploying Scalable Machine Learning for Data Science/7.6. ML Services in Production/30.Kubernetes monitoring.en.srt |
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| Deploying Scalable Machine Learning for Data Science/7.6. ML Services in Production/30.Kubernetes monitoring.mp4 |
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| Deploying Scalable Machine Learning for Data Science/8.Conclusion/31.Best practices for scaling ML.en.srt |
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| Deploying Scalable Machine Learning for Data Science/8.Conclusion/31.Best practices for scaling ML.mp4 |
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| Deploying Scalable Machine Learning for Data Science/8.Conclusion/32.Next steps.en.srt |
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| Deploying Scalable Machine Learning for Data Science/8.Conclusion/32.Next steps.mp4 |
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| Deploying Scalable Machine Learning for Data Science/Exercise Files/Ex_Files_Scalable_ML_Data.zip |
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