Microsoft Azure AI Fundamentals [AI-900] Training | Day 2: Live Session Q/A Review

𝐀𝐳𝐮𝐫𝐞 𝐂𝐮𝐬𝐭𝐨𝐦 𝐕𝐢𝐬𝐢𝐨𝐧

* 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.

𝐃𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐛𝐞𝐭𝐰𝐞𝐞𝐧 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐯𝐢𝐬𝐢𝐨𝐧 & 𝐂𝐮𝐬𝐭𝐨𝐦 𝐕𝐢𝐬𝐢𝐨𝐧:

𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧: The Classification model is already trained on some previously provided images.

𝐂𝐮𝐬𝐭𝐨𝐦 𝐕𝐢𝐬𝐢𝐨𝐧: We submit images from our side to train the Classification model.

𝐂𝐥𝐚𝐬𝐬𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐂𝐥𝐮𝐬𝐭𝐞𝐫𝐢𝐧𝐠:

* Classification and clustering are two methods used in machine learning.

𝐂𝐥𝐚𝐬𝐬𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧: 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. 𝐂𝐥𝐮𝐬𝐭𝐞𝐫𝐢𝐧𝐠: Clustering is an unsupervised machine learning technique. No training data is required.

We will cover:

👉 Custom AI algorithms

👉 Classification

👉 Clustering, Compute

👉 Compute and Automated ML

To know more about Azure AI Fundamentals. Check this blog at: https://k21academy.com/ai900day2 

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About the Author Atul Kumar

Oracle ACE, Author, Speaker and Founder of K21 Technologies & K21 Academy : Specialising in Design, Implement, and Trainings.

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