Boltzmann Machines

Datacast Episode 86: Risk Management, Open-Source Governance, and Negative Engineering with Jeremiah Lowin

Datacast Episode 86: Risk Management, Open-Source Governance, and Negative Engineering with Jeremiah Lowin

Jeremiah Lowin is the Founder & CEO of Prefect, a dataflow automation company. Before starting Prefect, Jeremiah gained extensive experience in all aspects of the modern data stack as a director of risk management, machine learning researcher, and data scientist at a number of institutional investment firms. Today, he lives with his wife and two sons in Washington, DC.

Recommendation System Series Part 7: The 3 Variants of Boltzmann Machines for Collaborative Filtering

Recommendation System Series Part 7: The 3 Variants of Boltzmann Machines for Collaborative Filtering

In this post and those to follow, I will be walking through the creation and training of recommendation systems, as I am currently working on this topic for my Master Thesis. Part 7 explores the use of Boltzmann Machines for collaborative filtering. More specifically, I will dissect three principled papers that incorporate Boltzmann Machines into their recommendation architecture. But first, let’s walk through a primer on Boltzmann Machine and its variants.