I have encountered scenarios in statistical analysis and financial modeling where standard unweighted quantile calculations are insufficient. Specifically, there is a conceptual difference between the ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of neural network quantile regression. The goal of a quantile regression problem is to predict a single numeric ...

One of the long-standing bottlenecks for researchers and data scientists is the inherent limitation of the tools they use for numerical computation. NumPy, the go-to library for numerical operations ...

Bitcoin’s (BTC) strong weekly return of 9.84% exhibited a clear bullish breakout above the descending trendline pattern, which has been active since March 2024. In light of that, Sina, the co-founder ...

A Bitcoin researcher says a quasi-exponential decay trend could even see BTC's price going as high as $300,000 in 2025. After dropping 3.45% on Sept. 30, Bitcoin (BTC) missed out on a monthly bullish ...

There is a phenomenon in the Python programming language that affects the efficiency of data representation and memory. I call it the "invisible line." This invisible line might seem innocuous at ...

Python is convenient and flexible, yet notably slower than other languages for raw computational speed. The Python ecosystem has compensated with tools that make crunching numbers at scale in Python ...

The NaN appears to be treated like it were -inf---i.e. it sorts first. Regardless of whether numpy's handling of NaN in this situation has changed over the years, it's unclear what users should expect ...