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 ...

Mariah is a Berlin-based writer with six years of experience in writing, localizing and SEO-optimizing short- and long-form content across multiple niches, including higher education, digital ...

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, ...

In this online data science specialization, you will apply machine learning algorithms to real-world data, learn when to use which model and why, and improve the performance of your models. Beginning ...

Suppose you want to train a text summarizer or an image classifier. Without using Gradio, you would need to build the front end, write back-end code, find a hosting platform, and connect all parts, ...

Python libraries that can interpret and explain machine learning models provide valuable insights into their predictions and ensure transparency in AI applications. A Python library is a collection of ...

Snowpark for Python gives data scientists a nice way to do DataFrame-style programming against the Snowflake data warehouse, including the ability to set up full-blown machine learning pipelines to ...

JEBS provides an outlet for papers that develop original statistical methods useful for the applied statistician working in educational or behavioral research. Typical papers will present new methods ...