Learn about downside deviation, a crucial metric for assessing downside risk by focusing on returns below a minimum threshold, and how it influences investment strategies.

The power of Python trumps Excel workbooks.

Welcome to your guide to Pips, the latest game in the New York Times catalogue. Released in August 2025, Pips puts a unique spin on dominoes, creating a fun single-player experience that could become ...

The term "Monte Carlo" sounds fancy, but for us, it just means repetition. Since we don't know exactly how many customers will walk in tomorrow, we run the simulation 5,000 times. It’s like living the ...

What is the ICW Index? Tl;DR: The ICW index is a weighted average of variables where the weights are determined by the inverse of the covariance matrix of the variables. Anderson (2008) proposed an ...

Mass spectrometry-based lipidomics and metabolomics generate extensive data sets that, along with metadata such as clinical parameters, require specific data exploration skills to identify and ...

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...

Isotopic composition modelling is a key aspect in many environmental studies. This work presents Isocompy, an open source Python library that estimates isotopic compositions through machine learning ...

Random Forests (RFs) are among the most successful machine-learning algorithms in terms of prediction accuracy. In many domain problems, however, the primary goal is not prediction, but to understand ...

Intracranial stereoelectroencephalography (SEEG) is broadly used in the presurgical evaluation of intractable epilepsy, due to its high temporal resolution in neural activity recording and high ...