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.
NCR made their fame in ATMs in part by equipping their contemporary models with
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After two decades of deferring to executive authority and eroding anti-bribery laws, the supreme court has suddenly limited presidential power in a way that could make one ugly form of political influence a bit more difficult to pull off. Last week’s ruling did not merely strip one president of his executive power to unilaterally impose levies across broad swaths of the economy – it makes it harder for any president to transform tariffs from a broad economic policy into a personal political cudgel that muzzles criticism and enforces fealty.
"Mass crowds at stadiums and cultural sites place immense strain on mobile networks," says Gareth Elliott, director of policy and communications at trade association Mobile UK, "often exceeding local capacity as thousands share limited bandwidth simultaneously."