but also learn “data science specific” languages like Python and R. "With this talk I want .NET developers to see how they can use their favorite development language for their ML tasks and feel ...

More information on configuring the GPU is available in the ML.NET GPU guide. It is no longer necessary to install the GPU extension from version 16.14.4 of Model Builder. In previous versions ...

Understanding machine learning models’ behavior, predictions, and interpretation is essential for ensuring fairness and transparency in artificial intelligence (AI) applications. Many Python ...

NumPy arrays require far less storage area than other Python lists, and they are faster and more convenient to use, making it a great option to increase the performance of Machine Learning models ...

Also, Python's versatility makes it useful for automating workflows, handling large datasets and integrating AI and ML models into clinical research. Furthermore, AI and ML applications in ...