Azure AI ML Models

Explore and manage your machine learning models within Azure AI ML. This section provides guidance on registering, versioning, and deploying your trained models to make them accessible for inference.

Featured Models

Image Classification Model v1.2

A pre-trained model for classifying images across various categories. Optimized for accuracy and speed.

Computer Vision Classification PyTorch

Natural Language Processing Sentiment Analyzer

Analyze the sentiment of text data. Useful for understanding customer feedback, social media monitoring, and more.

NLP Sentiment Analysis TensorFlow

Object Detection Model

Identify and locate objects within images. Supports bounding box generation for various common objects.

Computer Vision Object Detection ONNX

Recommendation Engine

A collaborative filtering model for generating personalized recommendations based on user behavior.

Recommender Systems Machine Learning Scikit-learn

Key Concepts

Model Registration: Learn how to register your trained models with Azure AI ML to track them effectively.
Model Versioning: Understand how to manage different versions of your models to facilitate rollbacks and comparisons.
Model Deployment: Discover how to deploy models as web services for real-time or batch inference.
Model Evaluation: Methods and metrics for evaluating the performance of your machine learning models.