Random Projections

Useful Bits About Estimators

Causal Inference

Machine Learning

We all sometimes wish the world looked a bit different, fortunately statistics has the answer! I’m going to detail some useful statistical tools to draw conclusions about…

Fun with Autodiff

One of the most useful tools in modern machine learning is the ability to automatically differentiate basically anything. Using tools like Jax and torch.autograd you can…

Causality, Induction and Avocados

Causal Inference

Predictions is the bread and butter of Machine Learning. However, the connection between data and reality often involves a leap of faith where we gather insights about our…

LLMs, CoT and Implicit Reasoning

Machine Learning

The last few months have been tumultuous for AI, with Deepseek’s R1 demonstrating how Reinforcement Learning can bring out enough reasoning power from smaller models to…

Dimensionless Features

Machine Learning

When dealing with machine learning problems for physical systems the quantities we use as features and targets have dimensionality.

Bayesian Persuasion

Machine Learning

Bayesian Inference

In this post we explore the connections between standard Machine Learning methods and Bayesian inference. We also show how to build a Bayesian neural network without relying…