The term artificial intelligence (AI) seems to be ubiquitous these days. It seems that anything can and should be solved using AI but does it really make sense to use neural networks for every use-case?

Matrix factorization-based methods are among the most popular methods for collaborative filtering tasks with implicit feedback. The most effective of these methods do not apply sign constraints, such as non-negativity, to their factors. Despite their simplicity, the latent factors for users and items lack interpretability, which is becoming an increasingly …

An often encountered Antipattern in Python code are complex queries composed with the help of string substitutions and concatenations. SQLAlchemy Core allows you to generate queries in a programmatic way for many SQL databases like BigQuery.

A new star is rising in the Python ecosystem. Polars is a blazing fast DataFrames library in Rust & Python with PySpark-like syntax.

For a long time, Bayesian Hierarchical Modelling has been a very powerful tool that sadly could not be applied often due to its high computations costs. With NumPyro and the latest advances in high-performance computations in Python, Bayesian Hierarchical Modelling is now ready for prime time.