The Conference for Machine Learning Innovation

k-NN on steroids – an introduction to approximate nearest neighbours

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Infos
Wednesday, June 29 2022
16:00 - 16:45
Room:
Kopernikus 3

K-nearest neighbours is one of the first algorithms taught in any primer Machine Learning classes, mostly due to its simplicity. It is also one of the most underrated methods and is still not commonly used in production, as the inference phase typically takes longer than the training process. It turns out we can leverage the simplicity of k-NN and use some variations of it in a blazingly fast manner, by utilizing approximate nearest neighbours methods. We’ll discuss the most popular algorithm for implementing an efficient vector search – Hierarchical Navigable Small World, and describe how to apply it to real-life scenarios.

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