Getting started with ML.Net is easy. First download and install the ML.Net packages, and then add the appropriate libraries to your .Net code, declaring them in your headers with using statements.

While Python has long been recognized as a go-to programming language for data science and is often used to author machine learning models, the new project focuses on clean, idiomatic Python syntax ...

With machine learning being integrated across various tech stacks, what sets ML.NET apart from other machine learning libraries, especially for .NET developers? ML.NET allows .NET developers to build ...

Using Python in Visual Studio Code for machine learning model training and experimentation is easier in the February 2021 update to the tool that fosters Python programming in Microsoft's popular, ...

Discover five powerful Python libraries that enable data scientists to interpret and explain machine learning models effectively.

Learn about some of the best Python libraries for programming Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL).

Microsoft’s new tool makes it possible to use your own GPU to work with popular machine learning platforms.

A new campaign exploiting machine learning (ML) models via the Python Package Index (PyPI) has been observed by cybersecurity researchers. ReversingLabs said threat actors are using the Pickle file ...

Apple’s machine learning (ML) teams quietly flexed their muscle with the release of a new ML framework developed for Apple Silicon.

Machine Learning: Theory & Hands-On Practice with Python Specialization In this online data science specialization, you will apply machine learning algorithms to real-world data, learn when to use ...