Building Your First Data Science Project in Microsoft Azure番号下载_Building Your First Data Science Project in Microsoft Azure番号下载_Building Your First Data Science Project in Microsoft Azure下载

Building Your First Data Science Project in Microsoft Azure

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种子名称： Building Your First Data Science Project in Microsoft Azure
文件类型：视频
文件数目： 23个文件
文件大小： 266.8 MB
收录时间： 2025-3-18 01:49
已经下载： 3次
资源热度： 70
最近下载： 2025-5-2 09:11

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Building Your First Data Science Project in Microsoft Azure

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Building Your First Data Science Project in Microsoft Azure.torrent

01. Course Overview/01. Course Overview.mp43.08MB

02. Meet Azure Machine Learning/01. Introducing Microsoft Azure Machine Learning.mp414.35MB

02. Meet Azure Machine Learning/02. Introducing Globomantics Case Study.mp42.16MB

02. Meet Azure Machine Learning/03. Getting the Best out of This Course.mp44.14MB

02. Meet Azure Machine Learning/04. Outline of the Course.mp41.3MB

03. Starting a Data Science Project/01. A Walkthrough of Model Development.mp47.44MB

03. Starting a Data Science Project/02. What Is an ML Workspace-.mp43.57MB

03. Starting a Data Science Project/03. Demo- Create an ML Workspace.mp410.23MB

03. Starting a Data Science Project/04. A Preview on Development Environments.mp411.21MB

03. Starting a Data Science Project/05. Demo- Setting up the Local Environment Part1.mp410.74MB

03. Starting a Data Science Project/06. Demo- Setting up the Local Environment Part2.mp418.73MB

03. Starting a Data Science Project/07. Demo- Configuring a DSVM Environment.mp49.75MB

03. Starting a Data Science Project/08. Demo- Using Compute Instances.mp414.18MB

03. Starting a Data Science Project/09. Key Takeaways and Tips.mp43.28MB

04. Preparing a Data Science Model for Deployment/01. Planning the Next Steps- Training and Deployment.mp412.73MB

04. Preparing a Data Science Model for Deployment/02. Demo- Using Curated Environments for Training.mp424.07MB

04. Preparing a Data Science Model for Deployment/03. Demo- Using System-managed Environments for Training.mp423.95MB

04. Preparing a Data Science Model for Deployment/04. Demo- Using User-managed Environments for Training.mp412.72MB

04. Preparing a Data Science Model for Deployment/05. Key Takeaways and Tips.mp43.46MB

05. Implementing Responsible ML/01. What Do We Mean by Responsible ML-.mp48.88MB

05. Implementing Responsible ML/02. Demo- Diabetes Model Interpretability.mp430.63MB

05. Implementing Responsible ML/03. Demo- Analize Fairness in Our Diabetes Model.mp431.05MB

05. Implementing Responsible ML/04. Key Takeaways and Tips.mp45.16MB