Machine learning programming is an in-demand skill. Learn how to program an ML application with Python in this tutorial.

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

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

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.

With the Premium Machine Learning Artificial Intelligence Super Bundle, you get lifetime access to all 12 courses and 438 lessons that come included in this series.

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 ...

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 ...

A Python implementation of the Torch machine learning framework, PyTorch has enjoyed broad uptake at Twitter, Carnegie Mellon University, Salesforce, and Facebook.

Blue River Technology is using the Python-based machine-learning framework to develop smarter crop-spraying tech.