Deploying Scalable Machine Learning for Data Science -移花宫-武林禁地，闲人禁止入内

Deploying Scalable Machine Learning for Data Science

磁力链接/BT种子名称

Deploying Scalable Machine Learning for Data Science

磁力链接/BT种子简介

种子哈希：0421a839a023a8286fb1120649680d743a1073df
文件大小：177.95M
已经下载：1827次
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收录时间：2018-09-16
最近下载：2025-09-24

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文件列表

5.4. Running ML Services in Containers/19.Example Docker build process.mp4 11.7 MB
1.Introduction/01.Scaling ML models.mp4 3.4 MB
1.Introduction/02.What you should know.en.srt 1.9 kB
1.Introduction/02.What you should know.mp4 2.6 MB
2.1. The Need to Scale ML Models/03.Building and running ML models for data scientists.en.srt 8.7 kB
2.1. The Need to Scale ML Models/03.Building and running ML models for data scientists.mp4 10.0 MB
2.1. The Need to Scale ML Models/04.Building and deploying ML models for production use.en.srt 8.8 kB
2.1. The Need to Scale ML Models/04.Building and deploying ML models for production use.mp4 8.0 MB
2.1. The Need to Scale ML Models/05.Definition of scaling ML for production.en.srt 8.1 kB
2.1. The Need to Scale ML Models/05.Definition of scaling ML for production.mp4 7.5 MB
2.1. The Need to Scale ML Models/06.Overview of tools and techniques for scalable ML.en.srt 8.1 kB
2.1. The Need to Scale ML Models/06.Overview of tools and techniques for scalable ML.mp4 10.3 MB
3.2. Design Patterns for Scalable ML Applications/07.Horizontal vs. vertical scaling.en.srt 6.7 kB
3.2. Design Patterns for Scalable ML Applications/07.Horizontal vs. vertical scaling.mp4 6.8 MB
3.2. Design Patterns for Scalable ML Applications/08.Running models as services.en.srt 3.9 kB
3.2. Design Patterns for Scalable ML Applications/08.Running models as services.mp4 3.1 MB
3.2. Design Patterns for Scalable ML Applications/09.APIs for ML model services.en.srt 7.8 kB
3.2. Design Patterns for Scalable ML Applications/09.APIs for ML model services.mp4 8.7 MB
3.2. Design Patterns for Scalable ML Applications/10.Load balancing and clusters of servers.en.srt 7.4 kB
3.2. Design Patterns for Scalable ML Applications/10.Load balancing and clusters of servers.mp4 6.9 MB
3.2. Design Patterns for Scalable ML Applications/11.Scaling horizontally with containers.en.srt 5.0 kB
3.2. Design Patterns for Scalable ML Applications/11.Scaling horizontally with containers.mp4 4.9 MB
4.3. Deploying ML Models as Services/12.Services encapsulate ML models.en.srt 4.5 kB
4.3. Deploying ML Models as Services/12.Services encapsulate ML models.mp4 4.7 MB
4.3. Deploying ML Models as Services/13.Using Plumber to create APIs for R programs.en.srt 6.6 kB
4.3. Deploying ML Models as Services/13.Using Plumber to create APIs for R programs.mp4 6.7 MB
4.3. Deploying ML Models as Services/14.Using Flask to create APIs for Python programs.en.srt 8.5 kB
4.3. Deploying ML Models as Services/14.Using Flask to create APIs for Python programs.mp4 8.9 MB
4.3. Deploying ML Models as Services/15.Best practices for API design for ML services.en.srt 2.2 kB
4.3. Deploying ML Models as Services/15.Best practices for API design for ML services.mp4 2.1 MB
5.4. Running ML Services in Containers/16.Containers bundle ML model components.en.srt 5.5 kB
5.4. Running ML Services in Containers/16.Containers bundle ML model components.mp4 7.0 MB
5.4. Running ML Services in Containers/17.Introduction to Docker.en.srt 6.1 kB
5.4. Running ML Services in Containers/17.Introduction to Docker.mp4 6.2 MB
5.4. Running ML Services in Containers/18.Building Docker images with Dockerfiles.en.srt 8.5 kB
5.4. Running ML Services in Containers/18.Building Docker images with Dockerfiles.mp4 8.1 MB
5.4. Running ML Services in Containers/19.Example Docker build process.en.srt 6.3 kB
1.Introduction/01.Scaling ML models.en.srt 1.6 kB
5.4. Running ML Services in Containers/20.Using Docker registries to manage images.en.srt 7.3 kB
5.4. Running ML Services in Containers/20.Using Docker registries to manage images.mp4 6.8 MB
6.5. Scaling ML Services with Kubernetes/21.Running services in clusters.en.srt 5.4 kB
6.5. Scaling ML Services with Kubernetes/21.Running services in clusters.mp4 4.8 MB
6.5. Scaling ML Services with Kubernetes/22.Introduction to Kubernetes.en.srt 6.0 kB
6.5. Scaling ML Services with Kubernetes/22.Introduction to Kubernetes.mp4 6.0 MB
6.5. Scaling ML Services with Kubernetes/23.Creating a Kubernetes cluster.en.srt 6.3 kB
6.5. Scaling ML Services with Kubernetes/23.Creating a Kubernetes cluster.mp4 7.9 MB
6.5. Scaling ML Services with Kubernetes/24.Deploying containers in a Kubernetes cluster.en.srt 5.8 kB
6.5. Scaling ML Services with Kubernetes/24.Deploying containers in a Kubernetes cluster.mp4 5.5 MB
6.5. Scaling ML Services with Kubernetes/25.Scaling up a Kubernetes cluster.en.srt 5.3 kB
6.5. Scaling ML Services with Kubernetes/25.Scaling up a Kubernetes cluster.mp4 5.2 MB
6.5. Scaling ML Services with Kubernetes/26.Autoscaling a Kubernetes cluster.en.srt 1.9 kB
6.5. Scaling ML Services with Kubernetes/26.Autoscaling a Kubernetes cluster.mp4 1.7 MB
7.6. ML Services in Production/27.Monitoring service performance.en.srt 4.2 kB
7.6. ML Services in Production/27.Monitoring service performance.mp4 4.2 MB
7.6. ML Services in Production/28.Service performance data.en.srt 3.9 kB
7.6. ML Services in Production/28.Service performance data.mp4 4.8 MB
7.6. ML Services in Production/29.Docker container monitoring.en.srt 2.8 kB
7.6. ML Services in Production/29.Docker container monitoring.mp4 2.9 MB
7.6. ML Services in Production/30.Kubernetes monitoring.en.srt 2.8 kB
7.6. ML Services in Production/30.Kubernetes monitoring.mp4 3.0 MB
8.Conclusion/31.Best practices for scaling ML.en.srt 3.5 kB
8.Conclusion/31.Best practices for scaling ML.mp4 3.8 MB
8.Conclusion/32.Next steps.en.srt 2.4 kB
8.Conclusion/32.Next steps.mp4 2.3 MB
Exercise Files/Ex_Files_Scalable_ML_Data.zip 2.2 kB