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