| 001. Exam AI-900 Microsoft Azure AI Fundamentals Introduction en.srt | 6.3 KB | ||
| 001. Exam AI-900 Microsoft Azure AI Fundamentals Introduction.mp4 | 23.6 MB | ||
| 001. Exam AI-900 Microsoft Azure AI Fundamentals Summary.mp4 | 15.8 MB | ||
| 001. Learning objectives en.srt | 512 B | ||
| 001. Learning objectives.mp4 | 3 MB | ||
| 002. 1.1 Identify features of anomaly detection workloads en.srt | 5 KB | ||
| 002. 1.1 Identify features of anomaly detection workloads.mp4 | 5.7 MB | ||
| 002. 10.1 Identify features and uses for bots.mp4 | 7.9 MB | ||
| 002. 2.1 Describe considerations for fairness in an AI solution.mp4 | 3.3 MB | ||
| 002. 3.1 Identify regression machine learning scenarios.mp4 | 9.5 MB | ||
| 002. 4.1 Identify features and labels in a dataset for machine learning.mp4 | 7.5 MB | ||
| 002. 5.1 Automated machine learning.mp4 | 4.7 MB | ||
| 002. 6.1 Identify features of image classification solutions.mp4 | 12.2 MB | ||
| 002. 7.1 Identify capabilities of the Computer Vision service.mp4 | 1.2 MB | ||
| 002. 8.1 Identify features and uses for key phrase extraction.mp4 | 6.5 MB | ||
| 002. 9.1 Identify capabilities of the Language service.mp4 | 4.1 MB | ||
| 003. 1.2 Identify computer vision workloads en.srt | 2 KB | ||
| 003. 1.2 Identify computer vision workloads.mp4 | 2.5 MB | ||
| 003. 10.2 Identify capabilities of the Power Virtual Agents and Azure Bot service.mp4 | 27.7 MB | ||
| 003. 2.2 Describe considerations for reliability and safety in an AI solution.mp4 | 1.7 MB | ||
| 003. 3.2 Identify classification machine learning scenarios.mp4 | 2.4 MB | ||
| 003. 4.2 Describe how training and validation datasets are used in machine learning.mp4 | 29.9 MB | ||
| 003. 5.2 Azure Machine Learning designer.mp4 | 65.4 MB | ||
| 003. 6.2 Identify features of object detection solutions.mp4 | 3.8 MB | ||
| 003. 7.2 Identify capabilities of the Custom Vision service.mp4 | 3.6 MB | ||
| 003. 8.2 Identify features and uses for entity recognition.mp4 | 2.8 MB | ||
| 003. 9.2 Identify capabilities of the Speech service.mp4 | 1.5 MB | ||
| 004. 1.3 Identify natural language processing workloads en.srt | 3.1 KB | ||
| 004. 1.3 Identify natural language processing workloads.mp4 | 3.7 MB | ||
| 004. 2.3 Describe considerations for privacy and security in an AI solution.mp4 | 2 MB | ||
| 004. 3.3 Identify clustering machine learning scenarios.mp4 | 34.1 MB | ||
| 004. 6.3 Identify features of optical character recognition solutions.mp4 | 2.3 MB | ||
| 004. 7.3 Identify capabilities of the Face service.mp4 | 2.1 MB | ||
| 004. 8.3 Identify features and uses for sentiment analysis.mp4 | 3.4 MB | ||
| 004. 9.3 Identify capabilities of the Translator service.mp4 | 25.3 MB | ||
| 005. 1.4 Identify knowledge mining workloads.mp4 | 35.3 MB | ||
| 005. 2.4 Describe considerations for inclusiveness in an AI solution.mp4 | 1.5 MB | ||
| 005. 6.4 Identify features of facial detection and facial analysis solutions.mp4 | 60.2 MB | ||
| 005. 7.4 Identify capabilities of the Form Recognizer service.mp4 | 36.9 MB | ||
| 005. 8.4 Identify features and uses for language modeling.mp4 | 723.4 KB | ||
| 006. 2.5 Describe considerations for transparency in an AI solution.mp4 | 3.2 MB | ||
| 006. 8.5 Identify features and uses for speech recognition and synthesis.mp4 | 3.9 MB | ||
| 007. 2.6 Describe considerations for accountability in an AI solution.mp4 | 13.6 MB | ||
| 007. 8.6 Identify features and uses for translation.mp4 | 20.3 MB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 55 total files | |||
Pearson - Exam AI-900 Microsoft Azure AI Fundamentals
https://FreeCourseWeb.com
Released 7/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 3h 7m | Size: 523 MB
Prepare to become an AI professional and ace the Microsoft Exam AI-900 with our comprehensive video course from Microsoft Press, covering everything from the fundamentals of AI to practical applications using Azure AI services
The technologies covered in Microsoft Exam AI-900, including machine learning, natural language processing, computer vision, and cognitive services, are widely used in real-world applications across various industries.
In healthcare, AI is used for medical image analysis, drug discovery, and predicting patient outcomes. In finance, AI is used for fraud detection, credit scoring, and algorithmic trading. In retail, AI is used for recommendation systems, supply chain optimization, and inventory management. In manufacturing, AI is used for predictive maintenance, quality control, and autonomous robotics. In customer service, AI is used for chatbots, sentiment analysis, and personalized marketing.
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 3.9 GB | freecoursewb | 10 months | 10 | 2 |
All Comments