Deploying and Managing Models in Microsoft Azure

磁力链接/BT种子名称

Deploying and Managing Models in Microsoft Azure

磁力链接/BT种子简介

种子哈希：69ff8da134f37aff87e8d8d8c2d35abf27c47088
文件大小：612.84M
已经下载：3112次
下载速度：极快
收录时间：2023-12-19
最近下载：2025-08-26

移花宫入口

移花宫.com邀月.com怜星.com花无缺.comyhgbt.icuyhgbt.top

磁力链接下载

magnet:?xt=urn:btih:69FF8DA134F37AFF87E8D8D8C2D35ABF27C47088
推荐使用PIKPAK网盘下载资源，10TB超大空间，不限制资源，无限次数离线下载，视频在线观看

下载BT种子文件

磁力链接 迅雷下载 PIKPAK在线播放 世界之窗 91视频 含羞草 欲漫涩 逼哩逼哩 成人快手 51品茶 抖阴破解版 极乐禁地 91短视频 她趣 TikTok成人版 PornHub 听泉鉴鲍 草榴社区 哆哔涩漫 呦乐园 萝莉岛

最近搜索

文件列表

  • deploying-managing-models-microsoft-azure.zip 371.6 MB
  • 03. Deploying a model in Azure ML/04. Demo- Deploying Locally - Part 2.mp4 27.7 MB
  • 04. Building and Operationalizing Pipelines with Azure/03. Demo- Creating an Azure Pipelines Project - Part1.mp4 23.8 MB
  • 04. Building and Operationalizing Pipelines with Azure/05. Demo- Creating an Azure ML Pipeline - Part 1.mp4 19.7 MB
  • 03. Deploying a model in Azure ML/06. Demo- Deploy an Online Endpoint.mp4 18.1 MB
  • 04. Building and Operationalizing Pipelines with Azure/06. Demo- Creating an Azure ML Pipeline - Part 2.mp4 17.7 MB
  • 03. Deploying a model in Azure ML/10. Demo- Deploying a Real-time A-B Test to Kubernetes - Part 2.mp4 17.7 MB
  • 04. Building and Operationalizing Pipelines with Azure/04. Demo- Creating an Azure Pipelines Project - Part2.mp4 16.8 MB
  • 03. Deploying a model in Azure ML/09. Demo- Deploying a Real-time A-B Test to Kubernetes - Part 1.mp4 14.1 MB
  • 03. Deploying a model in Azure ML/08. Demo- Perform A-B Testing in the Studio - Part 2.mp4 13.1 MB
  • 04. Building and Operationalizing Pipelines with Azure/07. Demo- Creating an Azure ML Pipeline - Part 3.mp4 11.9 MB
  • 04. Building and Operationalizing Pipelines with Azure/01. CI-CD in Machine Learning.mp4 9.0 MB
  • 03. Deploying a model in Azure ML/07. Demo- Perform A-B Testing in the Studio - Part 1.mp4 8.8 MB
  • 05. Machine Learning Operations in Azure/01. What Is MLOps-.mp4 8.6 MB
  • 04. Building and Operationalizing Pipelines with Azure/02. Different Types of Pipelines in Azure.mp4 7.8 MB
  • 03. Deploying a model in Azure ML/01. Deployment Options in Azure Machine Learning.mp4 6.3 MB
  • 05. Machine Learning Operations in Azure/03. Key Takeaways and Tips.mp4 6.1 MB
  • 05. Machine Learning Operations in Azure/02. Introducing Model Decay and Data Drift.mp4 5.8 MB
  • 03. Deploying a model in Azure ML/02. Real-time and Batch Endpoints.mp4 5.5 MB
  • 03. Deploying a model in Azure ML/03. Demo- Deploying Locally - Part 1.mp4 4.8 MB
  • 04. Building and Operationalizing Pipelines with Azure/08. Key Takeaways and Tips.mp4 4.5 MB
  • 02. Performing Machine Learning Operations with Azure/01. The Lifecycle of a Model from Creation to Deployment.mp4 4.4 MB
  • 01. Course Overview/01. Course Overview.mp4 3.9 MB
  • 02. Performing Machine Learning Operations with Azure/03. Getting the Best out of This Course.mp4 3.9 MB
  • 03. Deploying a model in Azure ML/05. Demo- Deploying Locally - Part 3.mp4 3.7 MB
  • 03. Deploying a model in Azure ML/11. Key Takeaways and Tips.mp4 3.7 MB
  • 02. Performing Machine Learning Operations with Azure/04. Outline of the Course.mp4 1.9 MB
  • 02. Performing Machine Learning Operations with Azure/02. Introducing Globomantics Case Study.mp4 1.4 MB
  • 03. Deploying a model in Azure ML/04. Demo- Deploying Locally - Part 2.srt 9.7 kB
  • 04. Building and Operationalizing Pipelines with Azure/03. Demo- Creating an Azure Pipelines Project - Part1.srt 9.6 kB
  • 03. Deploying a model in Azure ML/10. Demo- Deploying a Real-time A-B Test to Kubernetes - Part 2.srt 7.1 kB
  • 04. Building and Operationalizing Pipelines with Azure/01. CI-CD in Machine Learning.srt 6.9 kB
  • 04. Building and Operationalizing Pipelines with Azure/06. Demo- Creating an Azure ML Pipeline - Part 2.srt 6.7 kB
  • 04. Building and Operationalizing Pipelines with Azure/02. Different Types of Pipelines in Azure.srt 6.3 kB
  • 04. Building and Operationalizing Pipelines with Azure/04. Demo- Creating an Azure Pipelines Project - Part2.srt 6.2 kB
  • 04. Building and Operationalizing Pipelines with Azure/05. Demo- Creating an Azure ML Pipeline - Part 1.srt 6.1 kB
  • 03. Deploying a model in Azure ML/08. Demo- Perform A-B Testing in the Studio - Part 2.srt 5.9 kB
  • 03. Deploying a model in Azure ML/06. Demo- Deploy an Online Endpoint.srt 5.8 kB
  • 05. Machine Learning Operations in Azure/01. What Is MLOps-.srt 5.0 kB
  • 03. Deploying a model in Azure ML/09. Demo- Deploying a Real-time A-B Test to Kubernetes - Part 1.srt 4.7 kB
  • 05. Machine Learning Operations in Azure/02. Introducing Model Decay and Data Drift.srt 4.2 kB
  • 03. Deploying a model in Azure ML/01. Deployment Options in Azure Machine Learning.srt 4.0 kB
  • 03. Deploying a model in Azure ML/02. Real-time and Batch Endpoints.srt 4.0 kB
  • 03. Deploying a model in Azure ML/07. Demo- Perform A-B Testing in the Studio - Part 1.srt 3.8 kB
  • 04. Building and Operationalizing Pipelines with Azure/07. Demo- Creating an Azure ML Pipeline - Part 3.srt 3.7 kB
  • 02. Performing Machine Learning Operations with Azure/03. Getting the Best out of This Course.srt 3.2 kB
  • 05. Machine Learning Operations in Azure/03. Key Takeaways and Tips.srt 2.9 kB
  • 03. Deploying a model in Azure ML/03. Demo- Deploying Locally - Part 1.srt 2.9 kB
  • 02. Performing Machine Learning Operations with Azure/01. The Lifecycle of a Model from Creation to Deployment.srt 2.8 kB
  • 04. Building and Operationalizing Pipelines with Azure/08. Key Takeaways and Tips.srt 2.4 kB
  • 01. Course Overview/01. Course Overview.srt 2.1 kB
  • 03. Deploying a model in Azure ML/11. Key Takeaways and Tips.srt 2.0 kB
  • 02. Performing Machine Learning Operations with Azure/04. Outline of the Course.srt 1.4 kB
  • 03. Deploying a model in Azure ML/05. Demo- Deploying Locally - Part 3.srt 1.1 kB
  • 02. Performing Machine Learning Operations with Azure/02. Introducing Globomantics Case Study.srt 1.1 kB

随机展示

相关说明

本站不存储任何资源内容，只收集BT种子元数据(例如文件名和文件大小)和磁力链接(BT种子标识符)，并提供查询服务，是一个完全合法的搜索引擎系统。 网站不提供种子下载服务，用户可以通过第三方链接或磁力链接获取到相关的种子资源。本站也不对BT种子真实性及合法性负责，请用户注意甄别！