Deep Dives

the goal is to search out the most effective (maximum or minimum) value of an objective function by choosing real variables that satisfy a set of equality and inequality constraints. A general constrained optimization...

AI value the incorrect way. As a substitute of asking , the conversation quickly turns into questions akin to:  While efficiency is a crucial source of AI value, it is barely a part of the...

This text is the third a part of a series I made a decision to jot down on how one can construct a strong and stable credit scoring model over time. The primary article focused...

learns machine learning often starts with linear regression, not simply because it’s easy, but since it introduces us to the important thing concepts that we use in neural networks and deep learning. We already...

is trained on vast datasets and may perform a big selection of tasks. Many foundation models today are based on some variant of the transformer architecture pioneered by the likes of Google and...

systems inject rules written by humans. But what if a neural network could discover those rules itself? On this experiment, I extend a hybrid neural network with a differentiable rule-learning module that mechanically extracts...

1. The Claude Code Skill ecosystem is expanding rapidly. As of March 2026, the anthropics/skills repository reached over 87,000 stars on GitHub and more individuals are constructing and sharing Skills every week. How can we...

If you've studied causal inference before, you most likely have already got a solid idea of the basics, just like the potential outcomes framework, propensity rating matching, and basic difference-in-differences. Nonetheless, foundational methods often...