Autoregressive Models in Deep Learning — A Brief Survey

11 minute read

My current project involves working with a class of fairly niche and interesting neural networks that aren’t usually seen on a first pass through deep learning. I thought I’d write up my reading and research and post it.

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Cookbook — Bayesian Modelling with PyMC3

23 minute read

This is a compilation of notes, tips, tricks and recipes for Bayesian modelling that I’ve collected from everywhere: papers, documentation, peppering my more experienced colleagues with questions.

Why Latent Dirichlet Allocation Sucks

11 minute read

Latent Dirichlet allocation is a well-known and popular model in machine learning and natural language processing, but it really sucks sometimes. Here’s why.

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Hello World!

less than 1 minute read

This is the first post of what will (hopefully) be a cool blog. Hope you like it!

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