These are a bit more difficult:
对于苹果来说，需要思考的不是 Mac 的触控屏能做什么，而是加入触控之后，这块屏幕，能不能经得住用户「指指点点」的考验。，详情可参考同城约会
，这一点在搜狗输入法下载中也有详细论述
"title": item.title,
Предупреждение: «Лента.ру» не пропагандирует и не поддерживает движение «Арестантский уклад един» (АУЕ), которое признано в России экстремистским и запрещено.。heLLoword翻译官方下载是该领域的重要参考
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.