Defensible Machine Learning

A simple framework for founders & investors to reason about the three types of defensible ML companies. Read more


Interpretable Machine Learning

Machine learning algorithms usually operate as black boxes and it is unclear how they derived a certain decision. This book is a guide for practitioners to make machine learning decisions interpretable. (more…)

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Machine Learning for Everyday Tasks

Machine learning is often thought to be too complicated for everyday development tasks. We often associate it with things like big data, data mining, data science, and artificial intelligence. Sometimes it feels something like this: Machine Learni...

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