Machine Learning

The machine learning subset of AI. Includes deep learning among other topics.

Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead

~ Adrian Colyer ~ 10 Comments
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead Rudin et al., arXiv 2019 With thanks to Glyn Normington for pointing out this paper to me. It’s pretty clear from the title alone what Cynthia Rudin would like us to do! The paper is a mix of technical ... Continue Reading

150 successful machine learning models: 6 lessons learned at Booking.com

~ Adrian Colyer ~ 34 Comments
150 successful machine learning models: 6 lessons learned at Booking.com Bernadi et al., KDD'19 Here’s a paper that will reward careful study for many organisations. We’ve previously looked at the deep penetration of machine learning models in the product stacks of leading companies, and also some of the pre-requisites for being successful with it. Today’s ... Continue Reading

Declarative recursive computation on an RDBMS

~ Adrian Colyer ~ 2 Comments
Declarative recursive computation on an RDBMS... or, why you should use a database for distributed machine learing Jankov et al., VLDB'19 If you think about a system like Procella that’s combining transactional and analytic workloads on top of a cloud-native architecture, extensions to SQL for streaming, dataflow based materialized views (see e.g. Naiad, Noria, Multiverses, ... Continue Reading