市集一角，“云游”北京中轴线结束，沙特女孩瓦阿德·哈尔比摘下VR（虚拟现实）设备后意犹未尽：“我乘坐马车在紫禁城里游览，‘飞上’屋脊看到神兽，听到暮鼓晨钟，俯瞰中轴线夜景。这种身临其境般的‘旅游’让我感受到中国文化的厚重历史和魅力，激起我去中国旅游的浓厚兴趣。”
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But that’s unironically a good idea so I decided to try and do it anyways. With the use of agents, I am now developing rustlearn (extreme placeholder name), a Rust crate that implements not only the fast implementations of the standard machine learning algorithms such as logistic regression and k-means clustering, but also includes the fast implementations of the algorithms above: the same three step pipeline I describe above still works even with the more simple algorithms to beat scikit-learn’s implementations. This crate can therefore receive Python bindings and even expand to the Web/JavaScript and beyond. This also gives me the oppertunity to add quality-of-life features to resolve grievances I’ve had to work around as a data scientist, such as model serialization and native integration with pandas/polars DataFrames. I hope this use case is considered to be more practical and complex than making a ball physics terminal app.
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