在2024年又一次圍繞寵物友善政策的書面提問中，特區政府提供數據，顯示自2020年新冠病毒病（COVID-19）疫情以來，市民舉報狗隻進入餐廳數字，從2020年的58宗，增加至2024年的418宗。
Фото: Екатерина Чеснокова / РИА Новости
。同城约会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.
Premature fundraising often leads to premature scaling — one of the leading causes of startup failure.