Exam AI-900 Microsoft Azure AI Fundamentals

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Exam AI-900 Microsoft Azure AI Fundamentals

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文件列表

  • Lesson 5 Describe Capabilities of Visual Tools in Azure Machine Learning Studio/003. 5.2 Azure Machine Learning designer.mp4 68.6 MB
  • Lesson 6 Identify Common Types of Computer Vision Solution/005. 6.4 Identify features of facial detection and facial analysis solutions.mp4 63.1 MB
  • Lesson 7 Identify Azure Tools and Services for Computer Vision Tasks/005. 7.4 Identify capabilities of the Form Recognizer service.mp4 38.7 MB
  • Lesson 1 Identify Features of Common AI Workloads/005. 1.4 Identify knowledge mining workloads.mp4 37.0 MB
  • Lesson 3 Identify Common Machine Learning Types/004. 3.3 Identify clustering machine learning scenarios.mp4 35.8 MB
  • Lesson 4 Describe Core Machine Learning Concepts/003. 4.2 Describe how training and validation datasets are used in machine learning.mp4 31.3 MB
  • Lesson 10 Identify Considerations for Conversational AI Solutions on Azure/003. 10.2 Identify capabilities of the Power Virtual Agents and Azure Bot service.mp4 29.1 MB
  • Lesson 9 Identify Azure Tools and Services for NLP Workloads/004. 9.3 Identify capabilities of the Translator service.mp4 26.5 MB
  • Introduction/001. Exam AI-900 Microsoft Azure AI Fundamentals Introduction.mp4 24.8 MB
  • Lesson 8 Identify Features of Common NLP Workload Scenarios/007. 8.6 Identify features and uses for translation.mp4 21.3 MB
  • Summary/001. Exam AI-900 Microsoft Azure AI Fundamentals Summary.mp4 16.6 MB
  • Lesson 2 Identify Guiding Principles for Responsible AI/007. 2.6 Describe considerations for accountability in an AI solution.mp4 14.3 MB
  • Lesson 6 Identify Common Types of Computer Vision Solution/002. 6.1 Identify features of image classification solutions.mp4 12.8 MB
  • Lesson 3 Identify Common Machine Learning Types/002. 3.1 Identify regression machine learning scenarios.mp4 9.9 MB
  • Lesson 10 Identify Considerations for Conversational AI Solutions on Azure/002. 10.1 Identify features and uses for bots.mp4 8.3 MB
  • Lesson 4 Describe Core Machine Learning Concepts/002. 4.1 Identify features and labels in a dataset for machine learning.mp4 7.9 MB
  • Lesson 8 Identify Features of Common NLP Workload Scenarios/002. 8.1 Identify features and uses for key phrase extraction.mp4 6.8 MB
  • Lesson 1 Identify Features of Common AI Workloads/002. 1.1 Identify features of anomaly detection workloads.mp4 6.0 MB
  • Lesson 5 Describe Capabilities of Visual Tools in Azure Machine Learning Studio/002. 5.1 Automated machine learning.mp4 4.9 MB
  • Lesson 9 Identify Azure Tools and Services for NLP Workloads/002. 9.1 Identify capabilities of the Language service.mp4 4.3 MB
  • Lesson 8 Identify Features of Common NLP Workload Scenarios/006. 8.5 Identify features and uses for speech recognition and synthesis.mp4 4.1 MB
  • Lesson 8 Identify Features of Common NLP Workload Scenarios/001. Learning objectives.mp4 4.0 MB
  • Lesson 7 Identify Azure Tools and Services for Computer Vision Tasks/001. Learning objectives.mp4 4.0 MB
  • Lesson 6 Identify Common Types of Computer Vision Solution/003. 6.2 Identify features of object detection solutions.mp4 4.0 MB
  • Lesson 6 Identify Common Types of Computer Vision Solution/001. Learning objectives.mp4 3.9 MB
  • Lesson 1 Identify Features of Common AI Workloads/004. 1.3 Identify natural language processing workloads.mp4 3.9 MB
  • Lesson 2 Identify Guiding Principles for Responsible AI/001. Learning objectives.mp4 3.8 MB
  • Lesson 7 Identify Azure Tools and Services for Computer Vision Tasks/003. 7.2 Identify capabilities of the Custom Vision service.mp4 3.7 MB
  • Lesson 8 Identify Features of Common NLP Workload Scenarios/004. 8.3 Identify features and uses for sentiment analysis.mp4 3.5 MB
  • Lesson 2 Identify Guiding Principles for Responsible AI/002. 2.1 Describe considerations for fairness in an AI solution.mp4 3.5 MB
  • Lesson 2 Identify Guiding Principles for Responsible AI/006. 2.5 Describe considerations for transparency in an AI solution.mp4 3.4 MB
  • Lesson 9 Identify Azure Tools and Services for NLP Workloads/001. Learning objectives.mp4 3.1 MB
  • Lesson 10 Identify Considerations for Conversational AI Solutions on Azure/001. Learning objectives.mp4 3.1 MB
  • Lesson 8 Identify Features of Common NLP Workload Scenarios/003. 8.2 Identify features and uses for entity recognition.mp4 2.9 MB
  • Lesson 3 Identify Common Machine Learning Types/001. Learning objectives.mp4 2.9 MB
  • Lesson 5 Describe Capabilities of Visual Tools in Azure Machine Learning Studio/001. Learning objectives.mp4 2.9 MB
  • Lesson 4 Describe Core Machine Learning Concepts/001. Learning objectives.mp4 2.6 MB
  • Lesson 1 Identify Features of Common AI Workloads/003. 1.2 Identify computer vision workloads.mp4 2.6 MB
  • Lesson 3 Identify Common Machine Learning Types/003. 3.2 Identify classification machine learning scenarios.mp4 2.5 MB
  • Lesson 6 Identify Common Types of Computer Vision Solution/004. 6.3 Identify features of optical character recognition solutions.mp4 2.4 MB
  • Lesson 7 Identify Azure Tools and Services for Computer Vision Tasks/004. 7.3 Identify capabilities of the Face service.mp4 2.2 MB
  • Lesson 2 Identify Guiding Principles for Responsible AI/004. 2.3 Describe considerations for privacy and security in an AI solution.mp4 2.1 MB
  • Lesson 1 Identify Features of Common AI Workloads/001. Learning objectives.mp4 2.1 MB
  • Lesson 2 Identify Guiding Principles for Responsible AI/003. 2.2 Describe considerations for reliability and safety in an AI solution.mp4 1.8 MB
  • Lesson 9 Identify Azure Tools and Services for NLP Workloads/003. 9.2 Identify capabilities of the Speech service.mp4 1.6 MB
  • Lesson 2 Identify Guiding Principles for Responsible AI/005. 2.4 Describe considerations for inclusiveness in an AI solution.mp4 1.5 MB
  • Lesson 7 Identify Azure Tools and Services for Computer Vision Tasks/002. 7.1 Identify capabilities of the Computer Vision service.mp4 1.2 MB
  • Lesson 8 Identify Features of Common NLP Workload Scenarios/005. 8.4 Identify features and uses for language modeling.mp4 740.8 kB
  • Lesson 6 Identify Common Types of Computer Vision Solution/005. 6.4 Identify features of facial detection and facial analysis solutions en.srt 33.3 kB
  • Lesson 5 Describe Capabilities of Visual Tools in Azure Machine Learning Studio/003. 5.2 Azure Machine Learning designer en.srt 31.7 kB
  • Lesson 7 Identify Azure Tools and Services for Computer Vision Tasks/005. 7.4 Identify capabilities of the Form Recognizer service en.srt 20.0 kB
  • Lesson 1 Identify Features of Common AI Workloads/005. 1.4 Identify knowledge mining workloads en.srt 19.7 kB
  • Lesson 3 Identify Common Machine Learning Types/004. 3.3 Identify clustering machine learning scenarios en.srt 18.2 kB
  • Lesson 4 Describe Core Machine Learning Concepts/003. 4.2 Describe how training and validation datasets are used in machine learning en.srt 17.1 kB
  • Lesson 10 Identify Considerations for Conversational AI Solutions on Azure/003. 10.2 Identify capabilities of the Power Virtual Agents and Azure Bot service en.srt 16.6 kB
  • Lesson 9 Identify Azure Tools and Services for NLP Workloads/004. 9.3 Identify capabilities of the Translator service en.srt 13.5 kB
  • Lesson 8 Identify Features of Common NLP Workload Scenarios/007. 8.6 Identify features and uses for translation en.srt 11.0 kB
  • Lesson 6 Identify Common Types of Computer Vision Solution/002. 6.1 Identify features of image classification solutions en.srt 9.2 kB
  • Lesson 3 Identify Common Machine Learning Types/002. 3.1 Identify regression machine learning scenarios en.srt 8.4 kB
  • Lesson 2 Identify Guiding Principles for Responsible AI/007. 2.6 Describe considerations for accountability in an AI solution en.srt 6.8 kB
  • Lesson 4 Describe Core Machine Learning Concepts/002. 4.1 Identify features and labels in a dataset for machine learning en.srt 6.6 kB
  • Introduction/001. Exam AI-900 Microsoft Azure AI Fundamentals Introduction en.srt 6.4 kB
  • Lesson 10 Identify Considerations for Conversational AI Solutions on Azure/002. 10.1 Identify features and uses for bots en.srt 6.1 kB
  • Lesson 1 Identify Features of Common AI Workloads/002. 1.1 Identify features of anomaly detection workloads en.srt 5.1 kB
  • Lesson 8 Identify Features of Common NLP Workload Scenarios/002. 8.1 Identify features and uses for key phrase extraction en.srt 5.1 kB
  • Summary/001. Exam AI-900 Microsoft Azure AI Fundamentals Summary en.srt 4.8 kB
  • Lesson 7 Identify Azure Tools and Services for Computer Vision Tasks/003. 7.2 Identify capabilities of the Custom Vision service en.srt 3.5 kB
  • Lesson 5 Describe Capabilities of Visual Tools in Azure Machine Learning Studio/002. 5.1 Automated machine learning en.srt 3.5 kB
  • Lesson 9 Identify Azure Tools and Services for NLP Workloads/002. 9.1 Identify capabilities of the Language service en.srt 3.3 kB
  • Lesson 8 Identify Features of Common NLP Workload Scenarios/006. 8.5 Identify features and uses for speech recognition and synthesis en.srt 3.2 kB
  • Lesson 1 Identify Features of Common AI Workloads/004. 1.3 Identify natural language processing workloads en.srt 3.2 kB
  • Lesson 6 Identify Common Types of Computer Vision Solution/003. 6.2 Identify features of object detection solutions en.srt 3.0 kB
  • Lesson 2 Identify Guiding Principles for Responsible AI/002. 2.1 Describe considerations for fairness in an AI solution en.srt 2.8 kB
  • Lesson 2 Identify Guiding Principles for Responsible AI/006. 2.5 Describe considerations for transparency in an AI solution en.srt 2.5 kB
  • Lesson 8 Identify Features of Common NLP Workload Scenarios/004. 8.3 Identify features and uses for sentiment analysis en.srt 2.3 kB
  • Lesson 8 Identify Features of Common NLP Workload Scenarios/003. 8.2 Identify features and uses for entity recognition en.srt 2.1 kB
  • Lesson 1 Identify Features of Common AI Workloads/003. 1.2 Identify computer vision workloads en.srt 2.0 kB
  • Lesson 3 Identify Common Machine Learning Types/003. 3.2 Identify classification machine learning scenarios en.srt 1.9 kB
  • Lesson 6 Identify Common Types of Computer Vision Solution/004. 6.3 Identify features of optical character recognition solutions en.srt 1.8 kB
  • Lesson 7 Identify Azure Tools and Services for Computer Vision Tasks/004. 7.3 Identify capabilities of the Face service en.srt 1.6 kB
  • Lesson 2 Identify Guiding Principles for Responsible AI/004. 2.3 Describe considerations for privacy and security in an AI solution en.srt 1.5 kB
  • Lesson 2 Identify Guiding Principles for Responsible AI/003. 2.2 Describe considerations for reliability and safety in an AI solution en.srt 1.1 kB
  • Lesson 2 Identify Guiding Principles for Responsible AI/005. 2.4 Describe considerations for inclusiveness in an AI solution en.srt 1.0 kB
  • Lesson 6 Identify Common Types of Computer Vision Solution/001. Learning objectives en.srt 982 Bytes
  • Lesson 7 Identify Azure Tools and Services for Computer Vision Tasks/001. Learning objectives en.srt 978 Bytes
  • Lesson 8 Identify Features of Common NLP Workload Scenarios/001. Learning objectives en.srt 922 Bytes
  • Lesson 7 Identify Azure Tools and Services for Computer Vision Tasks/002. 7.1 Identify capabilities of the Computer Vision service en.srt 913 Bytes
  • Lesson 9 Identify Azure Tools and Services for NLP Workloads/003. 9.2 Identify capabilities of the Speech service en.srt 907 Bytes
  • Lesson 2 Identify Guiding Principles for Responsible AI/001. Learning objectives en.srt 877 Bytes
  • Lesson 9 Identify Azure Tools and Services for NLP Workloads/001. Learning objectives en.srt 804 Bytes
  • Lesson 10 Identify Considerations for Conversational AI Solutions on Azure/001. Learning objectives en.srt 779 Bytes
  • Lesson 5 Describe Capabilities of Visual Tools in Azure Machine Learning Studio/001. Learning objectives en.srt 740 Bytes
  • Lesson 3 Identify Common Machine Learning Types/001. Learning objectives en.srt 731 Bytes
  • Lesson 4 Describe Core Machine Learning Concepts/001. Learning objectives en.srt 659 Bytes
  • Lesson 1 Identify Features of Common AI Workloads/001. Learning objectives en.srt 509 Bytes
  • Lesson 8 Identify Features of Common NLP Workload Scenarios/005. 8.4 Identify features and uses for language modeling en.srt 390 Bytes

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