Microsoft Azure AI Fundamentals [AI-900] Training | Day 2: Live Session Q/A Review
๐๐ณ๐ฎ๐ซ๐ ๐๐ฎ๐ฌ๐ญ๐จ๐ฆ ๐๐ข๐ฌ๐ข๐จ๐ง
* It is an image recognition service that lets you build, deploy, and improve your own image identifiers. An image identifier applies labels to images, according to their visual characteristics.
๐๐ข๐๐๐๐ซ๐๐ง๐๐ ๐๐๐ญ๐ฐ๐๐๐ง ๐๐จ๐ฆ๐ฉ๐ฎ๐ญ๐๐ซ ๐ฏ๐ข๐ฌ๐ข๐จ๐ง & ๐๐ฎ๐ฌ๐ญ๐จ๐ฆ ๐๐ข๐ฌ๐ข๐จ๐ง:
๐๐จ๐ฆ๐ฉ๐ฎ๐ญ๐๐ซ ๐๐ข๐ฌ๐ข๐จ๐ง: The Classification model is already trained on some previously provided images.
๐๐ฎ๐ฌ๐ญ๐จ๐ฆ ๐๐ข๐ฌ๐ข๐จ๐ง: We submit images from our side to train the Classification model.
๐๐ฅ๐๐ฌ๐ฌ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง ๐๐ง๐ ๐๐ฅ๐ฎ๐ฌ๐ญ๐๐ซ๐ข๐ง๐ :
* Classification and clustering are two methods used in machine learning.
๐๐ฅ๐๐ฌ๐ฌ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง: This model function classifies the data into one of numerous already defined definite classes, It is Supervised Machine learning. Training data (collection of labeled instances) is required. ๐๐ฅ๐ฎ๐ฌ๐ญ๐๐ซ๐ข๐ง๐ : Clustering is an unsupervised machine learning technique. No training data is required.
We will cover:
๐ Custom AI algorithms
๐ Classification
๐ Clustering, Compute
๐ Compute and Automated ML
To know more about Azure AI Fundamentals. Check this blog at: https://k21academy.com/ai900day2ย
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