Data Science

In the world of forecasting there is a bit of mystery. Many expert forecasters continue to use statistical models despite the strong push of machine learning (ML) and deep learning neural network (NN) models. Those less familiar with the world of forecasting assume, because of the dominance of ML/NN models in computer vision and language […]

For the last few days, I decided to finally set about playing with Stable Diffusion – an open source model from Hugging Face which has several direct competitors, particularly Dalle2. They all do the same thing, more or less. They take a text prompt, convert it to an embedding, and then use that to generate

I have always been particularly impressed with the forecasting performance of the Prophet model. It has only a few parts: seasonality, holidays, any external regressors, and with those it has some of the most consistent forecasting performance around. Also, being a linear model (with Bayesian parameter estimation), Prophet offers a decomposable explainability/interpretability, i.e. Monday has