Welcome to the first edition of my new-look newsletter! This newsletter is a little different to the ones that came before it in structure and content. Here's how it's structured: Blog highlights - A selection of highlights from this blog over the last quarter, including technical tutorials, ML theory and
The fourth newsletter from this blog, covering featured posts as well as some of the most interesting machine learning and software engineering news, articles and papers from around the web.
Xanthus is a Deep Learning (DL) library built on top of Tensorflow and uses the Keras API to implement various neural recommendation model architectures. This post benchmarks the models implemented in Xanthus against some popular 'classic' matrix factorisation models.
MLOps is an emerging engineering movement aimed at accelerating the delivery of reliable, working ML software on an ongoing basis. This post provides an intro to MLOps and gives you an example project to get you started with building your own ML pipelines using GitHub Actions and Google Cloud.
This post introduces Xanthus - a new open source Deep Learning package built on TensorFlow 2.0 for quickly and easily building state of the art recommendation models in Python.
Autonomous vehicles are starting to pop up all over the place, even in Milton Keynes. But what does this mean for the rest of us? Originally posted on The Conversation.