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, ...

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

Aspiring data-science and machine-learning developers now have more Microsoft-made free video tutorials to learn how to build software in Python, one of today's most popular and versatile ...

Databot is an experimental alternative to querychat that works with R or Python. And it’s now available as an add-on for the ...

Python has become the most popular data science and machine learning programming language. But in order to obtain effective data and results, it’s important that you have a basic understanding of how ...

Here's how R users can get comfortable working with Python and LangChain, one of the hottest platforms for working with large language models.

There has been a lack of open source Python library for developers designed around AI workflows.

However, as the AI field evolves, many Python developers find themselves struggling to keep up with the demands of building, deploying, and optimizing AI models.

Python and its monumental role in advanced programming technologies like machine learning and artificial intelligence have made it the fastest-growing coding discipline of the past decade.

Learn about Python metaclasses, how to define and use them, and explore examples to understand their functionality with this comprehensive tutorial.