The Little Book of ML Metrics

The Little Book of ML Metrics

The book every data scientist needs on their desk.
Metrics are arguably the most important part of data science work, yet they are rarely taught in courses or university degrees. Even senior data scientists often have only a basic understanding of metrics—literally, almost nobody knows what happens to MAPE if we scale the targets to a standard normal distribution.

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The book you always wanted but didn't know existed

Subscribe for updates and get a new metric in your inbox every day.

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Book contents

Part 1: Regression

1.1 MAE — Mean Absolute Error

1.2 MSE — Mean Squared Error

1.3 MAE — Mean Absolute Error

1.4 MAE — Mean Absolute Error

1.5 MAE — Mean Absolute Error

1.6 MAE — Mean Absolute Error

Part 2: Classification

1.1 MAE — Mean Absolute Error

Part 1: Regression

1.1 MAE — Mean Absolute Error

1.2 MSE — Mean Squared Error

1.3 MAE — Mean Absolute Error

1.4 MAE — Mean Absolute Error

1.5 MAE — Mean Absolute Error

1.6 MAE — Mean Absolute Error

Part 2: Classification

1.1 MAE — Mean Absolute Error

Why pre-order this book?

1. Early bird discount: 20% off if you pre-order.

2. Support our open research. Over the last four years, we have developed various performance estimation methods like DLE and CBPE, as well as multivariate data drift detection methods like PCA Reconstruction Error, and we have open-sourced them to contribute to the advancement of ML monitoring tactics. By pre-ordering, you'll be helping to drive even greater changes in this space.

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About the authors

Santiago Víquez

ML Developer Advocate at NannyML. Santiago has a more than 5 years of profesional experience in ML and data science. He holds a bachelor in Physics and a Masters degree in Data Science.

Wojtek Kuberski

Co-founder and CTO at NannyML. Wojtek is an AI professional and entrepreneur with a master's degree in AI from KU Leuven. He co-founded NannyML, an OSS Python library for ML monitoring and post-deployment data science. As the CTO, he leads the research and product teams, contributing to the development of novel algorithms in model monitoring.

The Little Book of ML Metrics

Pre-order now for $60 $75