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Home > Linear Digressions > The Case for Learned Index Structures, Part 2: Hash Maps and Bloom Filters
Podcast: Linear Digressions
Episode:

The Case for Learned Index Structures, Part 2: Hash Maps and Bloom Filters
Category: Technology
Duration: 00:20:41
Publish Date: 2018-01-28 20:15:43
Description: Last week we started the story of how you could use a machine learning model in place of a data structure, and this week we wrap up with an exploration of Bloom Filters and Hash Maps. Just like last week, when we covered B-trees, we'll walk through both the "classic" implementation of these data structures and how a machine learning model could create the same functionality.
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