Federated learning is a type of machine learning where data is distributed among different devices, instead of being centralized in a single server. Devices can be trained locally on their own data, and then share their model updates with each other, without sharing the underlying data.
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Natural language processing (NLP) is a subfield of linguistics, computer science, information engineering, and artificial intelligence concerned with the interactions between computers and human (natural) languages, in particular how to program computers to process and analyze large amounts of natural language data.
Geometric deep learning is a type of machine learning that is based on geometric data, such as images, 3D models, and point clouds. It is a relatively new field that is growing rapidly due to the increasing amount of data that is available in these formats.
In the insurance industry, machine learning is being used in the insurance industry to automate underwriting and rating processes. This is making these processes more efficient and accurate, providing benefits which include reduced costs, improved accuracy, and faster turnaround times.
Integrate AI & Analytics by leveraging the Microsoft ML.NET platform we are able to quickly and efficiently build and train data models so that you can ask the questions.
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