8 best C# Machine Learning libraries in 2022

Machine learning is a type of artificial intelligence that allows software applications to become more accurate in predicting outcomes without being explicitly programmed. The basic premise of machine learning is to build algorithms that can receive input data and use statistical analysis to predict an output value within an acceptable range. Machine learning algorithms are often categorized as supervised or unsupervised. Supervised algorithms can apply what has been learned in the past to new data. Unsupervised algorithms can draw inferences from datasets. Some of the most C# Machine Learning Libraries popular among developers are: TensorFlow.NET - Implement the complete Tensorflow API in C# which allows .NET developers to develop, train and deploy Machine Learning models with the cross-platform; Numpy.NET - is the most complete .NET binding for NumPy, which is a fundamental library for scientific computing, machine learning and AI in Python. The following is a list of the most popular open source libraries: