* [Welcome to cuML’s documentation! — cuml 23.12.00 documentation](https://docs.rapids.ai/api/cuml/stable/)
Welcome to cuML’s documentation!
cuML is a suite of fast, GPU-accelerated machine learning algorithms designed for data science and analytical tasks. Our API mirrors Sklearn’s, and we provide practitioners with the easy fit-predict-transform paradigm without ever having to program on a GPU.
As data gets larger, algorithms running on a CPU becomes slow and cumbersome. RAPIDS provides users a streamlined approach where data is initially loaded in the GPU, and compute tasks can be performed on it directly.
* [python使用cuML训练你的机器学习模型 - 知乎](https://zhuanlan.zhihu.com/p/291988504)
* [ModuleNotFoundError: No module named 'cuml' - CSDN文库](https://wenku.csdn.net/answer/43ngkjksf0)