Machine Learning

Apr
08
A Guide to Structured Generation Using Constrained Decoding

A Guide to Structured Generation Using Constrained Decoding

The how, why, power, and pitfalls of constraining generative language model outputs
13 min read
Dec
31
A power set of feature coalitions.

How Shapley Values Work

In this article, we will explore how Shapley values work - not using cryptic formulae, but by way of code and simplified explanations
10 min read
Aug
13
Industry Perspective: Tree-Based Models vs Deep Learning for Tabular Data

Industry Perspective: Tree-Based Models vs Deep Learning for Tabular Data

Tree-based models aren't just highly performant - they offer a host of other advantages
3 min read
May
16
Supervised Clustering: How to Use SHAP Values for Better Cluster Analysis

Supervised Clustering: How to Use SHAP Values for Better Cluster Analysis

Cluster analysis is a popular method for identifying subgroups within a population, but the results are often challenging to interpret
9 min read
Jan
02
Utility vs Understanding: the State of Machine Learning Entering 2022

Utility vs Understanding: the State of Machine Learning Entering 2022

The empirical utility of some fields of machine learning has rapidly outpaced our understanding of the underlying theory: the models
12 min read
Nov
01
Explaining Machine Learning Models: A Non-Technical Guide to Interpreting SHAP Analyses

Explaining Machine Learning Models: A Non-Technical Guide to Interpreting SHAP Analyses

With interpretability becoming an increasingly important requirement for machine learning projects, there's a growing need for the complex outputs of techniques such as SHAP to be communicated to non-technical stakeholders.
12 min read