机器学习的本质是“模式识别与预测”，其原理基石可追溯到统计学与数学模型。不同于传统编程“输入指令→输出结果”的线性逻辑，它通过构建算法模型，让计算机从海量数据中挖掘潜在关联。比如识别垃圾邮件时，模型不会依赖固定关键词库，而是分析大量邮件的文本特征、发 ...

CUDA Tile和cuTile Python打通了这个瓶颈。英伟达在开发者博客中提到，一个15行的Python内核性能可以媲美200行手动优化的CUDA C++代码。

Overview:  Python and Jupyter offer a simple, powerful setup for beginner-friendly data science learning. Real-world datasets ...

Python is incredibly popular because it's easy to learn, versatile, and has thousands of useful libraries for data science. But one thing it is not is fast. That's about to change in Python 3.11, ...