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

To improve accessibility, they used Google Colab, a free, cloud-based platform to write and run Python codes—which means users don't have to install software to follow the tutorial.

This book is edited by Li Hui and Chen Yanyan, with associate editors Yang Yu, Gao Yong, Zhang Qiaosheng, Bi Ye, and Liu Dengzhi. It is rich in content, covering 32 theories and 32 practical cases, ...

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.

We’ve been talking a lot about machine learning lately. People are using it for speech generation and recognition, computer vision, and even classifying radio signals. If you’ve yet to … ...

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 ...

If you’re doing work in statistics, data science, or machine learning, the odds are high you’re using Python. And for good reason, too: The rich ecosystem of libraries and tooling, and the ...

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

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