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

Matplotlib is a Python library that enables users to create two-dimensional graphics. The library is widely used in machine learning due to its ability to create visualizations of data. This is ...

Microsoft has open sourced "ONNX Script," a library for authoring machine learning models in Python. While Python has long been recognized as a go-to programming language for data science and is often ...

PyTorch 1.10 is production ready, with a rich ecosystem of tools and libraries for deep learning, computer vision, natural language processing, and more. Here's how to get started with PyTorch.

In the R and Python languages, Microsoft includes several packages and libraries for machine learning. You can store your trained models in the database or externally.

Not necessarily for the data-science and machine-learning communities built around Python extensions like NumPy and SciPy, but as a general programming language.

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 ...

“In previous years, data scientists were confined to using proprietary platforms and C, and custom-building machine learning algorithms. But with Python libraries, data solutions can be built ...

Install Python Libraries in Visual Studio Code Python libraries are pre-written collections of code designed to simplify programming by providing ready-made functions for specific tasks.