Overview Beginner-friendly books simplify Python, R, statistics, and machine learning concepts.Practical examples and ...

In this video, we implement the Adam optimization algorithm from scratch using pure Python. You'll learn how Adam combines the benefits of momentum and RMSProp, and how it updates weights efficiently ...

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, ...

Why write SQL queries when you can get an LLM to write the code for you? Query NFL data using querychat, a new chatbot ...

I sat down with podcast regular Sam Thompson, and we talked about how he's planning to launch an AI-powered recipe app using ...

Resource loading optimization is the first step in improving frontend performance, and the Python backend plays a key role as the "resource scheduler". For static resources (CSS, JS, images), ...

Overview  GitHub repositories provide hands-on learning of real-world MLOps workflows.Tools like MLflow, Kubeflow, and DVC show how scaling and tracking wo ...

Master Python, Java, C++, and more with 15 coding courses and put it all to practice with Microsoft's best IDE.

The sprawling blocks of code produced by AI first need structural edits, followed by line-level refinements. Through a volley ...

The rStar2-Agent framework boosts a 14B model to outperform a 671B giant, offering a path to state-of-the-art AI without ...