Azure ML Insights

What is Azure ML?

Azure Machine Learning is a cloud-based platform for building, training, deploying, and managing machine learning models. It provides tools and services for data scientists and machine learning engineers to accelerate and manage the machine learning lifecycle. It's commonly used for tasks like predictive analytics, computer vision, and natural language processing.

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What other technologies are related to Azure ML?

Azure ML Competitor Technologies

AWS Sagemaker

A competing cloud-based machine learning platform from Amazon Web Services.

mentioned alongside Azure ML in 12% (4.3k) of relevant job posts

GCP Vertex AI

A competing cloud-based machine learning platform from Google Cloud Platform.

mentioned alongside Azure ML in 13% (1.8k) of relevant job posts

GCP’s Vertex AI platform

Duplicate entry of GCP Vertex AI which is a competing cloud-based machine learning platform from Google Cloud Platform.

mentioned alongside Azure ML in 100% (57) of relevant job posts

Azure ML Complementary Technologies

Azure Cognitive Services

A suite of pre-trained AI models and APIs that can be integrated with Azure ML for specific tasks like computer vision and NLP.

mentioned alongside Azure ML in 32% (1.4k) of relevant job posts

Databricks

A unified data analytics platform that can be used for data engineering, data science, and machine learning. It can complement Azure ML by providing a platform for data processing and model development.

mentioned alongside Azure ML in 4% (7.4k) of relevant job posts

MLFlow

An open-source platform for managing the end-to-end machine learning lifecycle, including experiment tracking, model packaging, and deployment. It complements Azure ML's model management capabilities.

mentioned alongside Azure ML in 11% (2.3k) of relevant job posts