Machine Learning Frameworks
Machine Learning Frameworks are software tools that provide an interface for building, training, and deploying machine learning models. These frameworks provide a set of pre-built algorithms, libraries, and tools that enable developers to create machine learning models without having to write code from scratch. Machine Learning Frameworks are designed to simplify the process of building machine learning models by providing a high-level interface that abstracts away the complexities of the underlying algorithms and hardware. They also provide a way to scale machine learning models to large datasets and distributed computing environments. Machine Learning Frameworks are used in a variety of applications, including image and speech recognition, natural language processing, and predictive analytics.
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