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| 001. Exam AI-900 Microsoft Azure AI Fundamentals Introduction.mp4 |
23.61Мб |
| 001. Exam AI-900 Microsoft Azure AI Fundamentals Introduction en.srt |
6.28Кб |
| 001. Exam AI-900 Microsoft Azure AI Fundamentals Summary.mp4 |
15.82Мб |
| 001. Learning objectives.mp4 |
1.96Мб |
| 001. Learning objectives.mp4 |
2.95Мб |
| 001. Learning objectives.mp4 |
3.66Мб |
| 001. Learning objectives.mp4 |
2.77Мб |
| 001. Learning objectives.mp4 |
2.52Мб |
| 001. Learning objectives.mp4 |
2.75Мб |
| 001. Learning objectives.mp4 |
3.75Мб |
| 001. Learning objectives.mp4 |
3.80Мб |
| 001. Learning objectives.mp4 |
3.84Мб |
| 001. Learning objectives.mp4 |
2.97Мб |
| 001. Learning objectives en.srt |
509б |
| 002. 1.1 Identify features of anomaly detection workloads.mp4 |
5.73Мб |
| 002. 1.1 Identify features of anomaly detection workloads en.srt |
5.02Кб |
| 002. 10.1 Identify features and uses for bots.mp4 |
7.91Мб |
| 002. 2.1 Describe considerations for fairness in an AI solution.mp4 |
3.31Мб |
| 002. 3.1 Identify regression machine learning scenarios.mp4 |
9.46Мб |
| 002. 4.1 Identify features and labels in a dataset for machine learning.mp4 |
7.52Мб |
| 002. 5.1 Automated machine learning.mp4 |
4.69Мб |
| 002. 6.1 Identify features of image classification solutions.mp4 |
12.25Мб |
| 002. 7.1 Identify capabilities of the Computer Vision service.mp4 |
1.18Мб |
| 002. 8.1 Identify features and uses for key phrase extraction.mp4 |
6.51Мб |
| 002. 9.1 Identify capabilities of the Language service.mp4 |
4.06Мб |
| 003. 1.2 Identify computer vision workloads.mp4 |
2.47Мб |
| 003. 1.2 Identify computer vision workloads en.srt |
1.99Кб |
| 003. 10.2 Identify capabilities of the Power Virtual Agents and Azure Bot service.mp4 |
27.71Мб |
| 003. 2.2 Describe considerations for reliability and safety in an AI solution.mp4 |
1.68Мб |
| 003. 3.2 Identify classification machine learning scenarios.mp4 |
2.36Мб |
| 003. 4.2 Describe how training and validation datasets are used in machine learning.mp4 |
29.86Мб |
| 003. 5.2 Azure Machine Learning designer.mp4 |
65.41Мб |
| 003. 6.2 Identify features of object detection solutions.mp4 |
3.78Мб |
| 003. 7.2 Identify capabilities of the Custom Vision service.mp4 |
3.57Мб |
| 003. 8.2 Identify features and uses for entity recognition.mp4 |
2.81Мб |
| 003. 9.2 Identify capabilities of the Speech service.mp4 |
1.53Мб |
| 004. 1.3 Identify natural language processing workloads.mp4 |
3.68Мб |
| 004. 1.3 Identify natural language processing workloads en.srt |
3.09Кб |
| 004. 2.3 Describe considerations for privacy and security in an AI solution.mp4 |
2.04Мб |
| 004. 3.3 Identify clustering machine learning scenarios.mp4 |
34.11Мб |
| 004. 6.3 Identify features of optical character recognition solutions.mp4 |
2.33Мб |
| 004. 7.3 Identify capabilities of the Face service.mp4 |
2.10Мб |
| 004. 8.3 Identify features and uses for sentiment analysis.mp4 |
3.37Мб |
| 004. 9.3 Identify capabilities of the Translator service.mp4 |
25.27Мб |
| 005. 1.4 Identify knowledge mining workloads.mp4 |
35.30Мб |
| 005. 2.4 Describe considerations for inclusiveness in an AI solution.mp4 |
1.46Мб |
| 005. 6.4 Identify features of facial detection and facial analysis solutions.mp4 |
60.22Мб |
| 005. 7.4 Identify capabilities of the Form Recognizer service.mp4 |
36.87Мб |
| 005. 8.4 Identify features and uses for language modeling.mp4 |
723.42Кб |
| 006. 2.5 Describe considerations for transparency in an AI solution.mp4 |
3.22Мб |
| 006. 8.5 Identify features and uses for speech recognition and synthesis.mp4 |
3.88Мб |
| 007. 2.6 Describe considerations for accountability in an AI solution.mp4 |
13.63Мб |
| 007. 8.6 Identify features and uses for translation.mp4 |
20.27Мб |
| Bonus Resources.txt |
386б |
| Get Bonus Downloads Here.url |
183б |