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种子名称： Exam AI-900 Microsoft Azure AI Fundamentals
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文件大小： 522.65 MB
收录时间： 2023-12-26 16:03
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Exam AI-900 Microsoft Azure AI Fundamentals.torrent

Lesson 5 Describe Capabilities of Visual Tools in Azure Machine Learning Studio/003. 5.2 Azure Machine Learning designer.mp465.41MB

Introduction/001. Exam AI-900 Microsoft Azure AI Fundamentals Introduction.mp423.61MB

Lesson 1 Identify Features of Common AI Workloads/001. Learning objectives.mp41.96MB

Lesson 1 Identify Features of Common AI Workloads/002. 1.1 Identify features of anomaly detection workloads.mp45.73MB

Lesson 1 Identify Features of Common AI Workloads/003. 1.2 Identify computer vision workloads.mp42.47MB

Lesson 1 Identify Features of Common AI Workloads/004. 1.3 Identify natural language processing workloads.mp43.68MB

Lesson 1 Identify Features of Common AI Workloads/005. 1.4 Identify knowledge mining workloads.mp435.3MB

Lesson 2 Identify Guiding Principles for Responsible AI/001. Learning objectives.mp43.66MB

Lesson 2 Identify Guiding Principles for Responsible AI/002. 2.1 Describe considerations for fairness in an AI solution.mp43.31MB

Lesson 2 Identify Guiding Principles for Responsible AI/003. 2.2 Describe considerations for reliability and safety in an AI solution.mp41.68MB

Lesson 2 Identify Guiding Principles for Responsible AI/004. 2.3 Describe considerations for privacy and security in an AI solution.mp42.04MB

Lesson 2 Identify Guiding Principles for Responsible AI/005. 2.4 Describe considerations for inclusiveness in an AI solution.mp41.46MB

Lesson 2 Identify Guiding Principles for Responsible AI/006. 2.5 Describe considerations for transparency in an AI solution.mp43.22MB

Lesson 2 Identify Guiding Principles for Responsible AI/007. 2.6 Describe considerations for accountability in an AI solution.mp413.63MB

Lesson 3 Identify Common Machine Learning Types/001. Learning objectives.mp42.77MB

Lesson 3 Identify Common Machine Learning Types/002. 3.1 Identify regression machine learning scenarios.mp49.46MB

Lesson 3 Identify Common Machine Learning Types/003. 3.2 Identify classification machine learning scenarios.mp42.36MB

Lesson 3 Identify Common Machine Learning Types/004. 3.3 Identify clustering machine learning scenarios.mp434.11MB

Lesson 4 Describe Core Machine Learning Concepts/001. Learning objectives.mp42.52MB

Lesson 4 Describe Core Machine Learning Concepts/002. 4.1 Identify features and labels in a dataset for machine learning.mp47.52MB

Lesson 4 Describe Core Machine Learning Concepts/003. 4.2 Describe how training and validation datasets are used in machine learning.mp429.86MB

Lesson 5 Describe Capabilities of Visual Tools in Azure Machine Learning Studio/001. Learning objectives.mp42.75MB

Lesson 5 Describe Capabilities of Visual Tools in Azure Machine Learning Studio/002. 5.1 Automated machine learning.mp44.69MB

Lesson 6 Identify Common Types of Computer Vision Solution/001. Learning objectives.mp43.75MB

Lesson 6 Identify Common Types of Computer Vision Solution/002. 6.1 Identify features of image classification solutions.mp412.25MB

Lesson 6 Identify Common Types of Computer Vision Solution/003. 6.2 Identify features of object detection solutions.mp43.78MB

Lesson 6 Identify Common Types of Computer Vision Solution/004. 6.3 Identify features of optical character recognition solutions.mp42.33MB

Lesson 6 Identify Common Types of Computer Vision Solution/005. 6.4 Identify features of facial detection and facial analysis solutions.mp460.22MB

Lesson 7 Identify Azure Tools and Services for Computer Vision Tasks/001. Learning objectives.mp43.8MB

Lesson 7 Identify Azure Tools and Services for Computer Vision Tasks/002. 7.1 Identify capabilities of the Computer Vision service.mp41.18MB

Lesson 7 Identify Azure Tools and Services for Computer Vision Tasks/003. 7.2 Identify capabilities of the Custom Vision service.mp43.57MB

Lesson 7 Identify Azure Tools and Services for Computer Vision Tasks/004. 7.3 Identify capabilities of the Face service.mp42.1MB

Lesson 7 Identify Azure Tools and Services for Computer Vision Tasks/005. 7.4 Identify capabilities of the Form Recognizer service.mp436.87MB

Lesson 8 Identify Features of Common NLP Workload Scenarios/001. Learning objectives.mp43.84MB

Lesson 8 Identify Features of Common NLP Workload Scenarios/002. 8.1 Identify features and uses for key phrase extraction.mp46.51MB

Lesson 8 Identify Features of Common NLP Workload Scenarios/003. 8.2 Identify features and uses for entity recognition.mp42.81MB

Lesson 8 Identify Features of Common NLP Workload Scenarios/004. 8.3 Identify features and uses for sentiment analysis.mp43.37MB

Lesson 8 Identify Features of Common NLP Workload Scenarios/005. 8.4 Identify features and uses for language modeling.mp4723.42KB

Lesson 8 Identify Features of Common NLP Workload Scenarios/006. 8.5 Identify features and uses for speech recognition and synthesis.mp43.88MB

Lesson 8 Identify Features of Common NLP Workload Scenarios/007. 8.6 Identify features and uses for translation.mp420.27MB

Lesson 9 Identify Azure Tools and Services for NLP Workloads/001. Learning objectives.mp42.97MB

Lesson 9 Identify Azure Tools and Services for NLP Workloads/002. 9.1 Identify capabilities of the Language service.mp44.06MB

Lesson 9 Identify Azure Tools and Services for NLP Workloads/003. 9.2 Identify capabilities of the Speech service.mp41.53MB

Lesson 9 Identify Azure Tools and Services for NLP Workloads/004. 9.3 Identify capabilities of the Translator service.mp425.27MB

Lesson 10 Identify Considerations for Conversational AI Solutions on Azure/001. Learning objectives.mp42.95MB

Lesson 10 Identify Considerations for Conversational AI Solutions on Azure/002. 10.1 Identify features and uses for bots.mp47.91MB

Lesson 10 Identify Considerations for Conversational AI Solutions on Azure/003. 10.2 Identify capabilities of the Power Virtual Agents and Azure Bot service.mp427.71MB

Summary/001. Exam AI-900 Microsoft Azure AI Fundamentals Summary.mp415.82MB