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You can’t improve it if you don’t measure it.

A product's success and quality are only as good as metrics that verify it.

Photo by Stephen Dawson on Unsplash
Photo by Stephen Dawson on Unsplash

The Definitive Guide to Designing Product Metrics

Discussing Precision and Recall metrics, metric design interviews, and the metric lifecycle

By Zachary Thomas in Editors’ Picks – 11 min read


Food photo created by valeria_aksakova - www.freepik.com
Food photo created by valeria_aksakova – www.freepik.com

A Must-Know New Clustering Algorithm for Disease Modelling

This article explains a new method for clustering disease data by both subtype and stage called SuStaIn (Subtype & Stage Inference). It explains the concept, summarises the maths, and provides a link to the python code.

By Lucy Rothwell in Unsupervised Learning – 10 min read


Photo by Valentin Salja on Unsplash
Photo by Valentin Salja on Unsplash

Systematically Tuning Your Model by Looking at Bias and Variance

Have you ever wondered if there is a more systematic way of tuning your model, than blindly guessing the hyperparameters or using a grid search?

By Sebastian Poliak in Computer Science – 4 min read


Photo by Clément H on Unsplash
Photo by Clément H on Unsplash

A Beginners Guide to Scikit-Learn

Getting started with the number one python machine learning library

By Rebecca Vickery in Getting Started – 5 min read


Photo by Dan Freeman on Unsplash
Photo by Dan Freeman on Unsplash

20 Popular Machine Learning Metrics. Part 2: Ranking, & Statistical Metrics

A brief introduction to the most important metrics used in machine learning for evaluating classification, regression, ranking, statistical, vision, NLP, & deep learning models

By Shervin Minaee – 8 min read


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