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https://azure.microsoft.com/en-us/overview/what-is-machine-learning-platform

Machine learning (ML) is the process of using mathematical models of data to help a computer learn without direct instruction. It’s considered a subset of artificial intelligence (AI). Machine learning uses algorithms to identify patterns within data, and those patterns are then used to create a data model that can make predictions.

https://docs.microsoft.com/.../innovate/best-practices/machine-learning

Machine learning is a data science technique that allows computers to use existing data to forecast future behaviors, outcomes, and trends. By using machine learning, computers learn without being explicitly programmed.

https://azure.microsoft.com/en-us/services/machine-learning

Build responsible machine learning solutions. Access state-of-the-art responsible machine learning capabilities to understand, control, and help protect your data, models, and processes. Explain model behavior during training and inferencing, and build for fairness by detecting and mitigating model bias.

https://dotnet.microsoft.com/apps/machinelearning-ai/ml-dotnet

Using a 9GB Amazon review data set, ML.NET trained a sentiment analysis model with 95% accuracy. Other popular machine learning frameworks failed to process the dataset due to memory errors. Training on 10% of the data set, to let all the frameworks complete training, ML.NET demonstrated the highest speed and accuracy.