The core of the Python data model architecture is the special methods (also known as 'magic methods'). These methods, which ...

"Vibe coding" is a phenomenon that curiously differs in definition depending on who you're asking. It's a spectrum of sorts; ...

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

Gastroenterology has seen remarkable progress in the deployment of artificial intelligence (AI) approaches. In colonoscopy, numerous trials of AI systems have reported improvements in adenoma ...

Melanie Walsh investigates how data and computational methods shape contemporary culture and can be used to understand ...

Fundamentally, people like Mr. Altman, the Anthropic chief executive Dario Amodei and countless other tech leaders and ...

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, ...

Building truly agentic AI in the cloud means designing for robust control, seamless integration, and continuous adaptation to ensure AI operates safely and effectively.

Armando has authored books such as Python Data Analysis - Second Edition and Mastering TensorFlow, Packt Publishing. He has also published research in international journals and conferences.

The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

Zhai, T. (2025) An Analysis of Japanese Majors’ Cognition on Academic Paper Writing Courses and Academic Ability Cultivation. Open Journal of Social Sciences, 13, 555-570. doi: 10.4236/jss.2025.138036 ...

Google has introduced LangExtract, an open-source Python library designed to help developers extract structured information from unstructured text using large language models such as the Gemini ...