Alexander Wijns

Published in g-company

·Feb 1

Build a recommender with BigQuery ML

Part 2: Flex slots and Cloud Workflows — In the previous post, we talked about why you would want to use matrix factorization (and collaborative filtering in general) to build a recommender system, and why BigQuery provides a good place to do it, even if it’s only for a baseline model. In this post, we’ll assume that after…

Machine Learning

8 min read

Published in g-company

·Dec 17, 2021

Build a recommender with BigQuery ML

Part 1: introduction — This is the first of two posts on using BigQuery to build (a component of) a recommender system. This first part is mostly conceptual, while in the second part we’ll dive into some actual code and explain how to set up a daily training pipeline in practice. Here’s a scenario…

Machine Learning

6 min read

Apr 16, 2021

Real-world TensorFlow Extended

Part 1: Introductions — This is the first in a series of posts on TensorFlow Extended. In this post I’ll set the stage without diving into any code yet, but bare with me. In subsequent posts, I’ll try to steer clear from the typical “getting started” content (the official docs do a fantastic job…

Machine Learning

8 min read