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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\17.Introduction to Docker.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\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.mp4
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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\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\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\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.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\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\07.Horizontal vs. vertical scaling.en.srt |
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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\30.Kubernetes monitoring.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\27.Monitoring service performance.mp4
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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\27.Monitoring service performance.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\7.6. ML Services in Production\28.Service performance data.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.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\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\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\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\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\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\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\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\06.Overview of tools and techniques for scalable ML.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\05.Definition of scaling ML for production.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\21.Running services in clusters.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\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\23.Creating 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\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\22.Introduction to Kubernetes.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.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\6.5. Scaling ML Services with Kubernetes\22.Introduction to Kubernetes.mp4
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