Deep Dives

First look under the hood — Formula Engine and Storage Engine First, I need you to fulfill the VertiPaq engine, “brain & muscles” of the system behind not only Power BI, but additionally Evaluation Services Tabular and Excel...

Introduction learning (RL) has achieved remarkable success in teaching agents to resolve complex tasks, from mastering Atari games and Go to training helpful language models. Two necessary techniques behind a lot of these advances...

AlphaEvolve is a promising latest coding agent by Google’s DeepMind. Let’s take a look at what it's and why it's generating hype. Much of the Google paper is on the claim that AlphaEvolve...

full code for this instance at the underside of this post. Multiple regression is used when your response variable Y is continuous and you may have at the least k covariates, or independent variables...

In this text, I'll introduce you to hierarchical Bayesian (HB) modelling, a versatile approach to mechanically mix the outcomes of multiple sub-models. This method enables estimation of individual-level effects by optimally combining information across...

Table of Contents Introduction It’s infrequently that you simply hear the Ruby language mentioned when discussing AI. Python, after all, is the king on this world, and for good reason. The community has coalesced across the language....

Scientific publication T. M. Lange, M. Gültas, A. O. Schmitt & F. Heinrich (2025). optRF: Optimising random forest stability by determining the optimal variety of trees. , 26(1), 95.Follow this LINK to the unique publication. ...

trees are a preferred supervised learning algorithm with advantages that include with the ability to be used for each regression and classification in addition to being easy to interpret. Nevertheless, decision trees aren’t...