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Q-Digest

Q-Digest is simply a complete binary tree over the range of values, where the leaf nodes are the values themselves. It as an algorithm for computing approximate quantiles on a collection of integers. Data quantiles have many applications from robust estimation, which I'll return to in a later article, to improving database query planning. A quantile summary of the sort the q-digest algorithm generates, captures information about the cumulative density function of a random variable and as such can be used for non-parametric estimation.

This tag is listed under Development & Implementations and Data & Information Management Community

Data & Information Management

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IT Challenges

Elasticsearch setup and deployment | Shivappa started on 23 August 18

Set up elasticsearch and deploy in the applications currently working

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Awards & Accolades for MyTechLogy

Winner of REDHERRING Top 100 Asia

Winner of
REDHERRING
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Finalist at SiTF Awards 2014 under the category Best Social & Community Product

Finalist at SiTF Awards 2014 under the category Best Social & Community Product

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Finalist at HR Vendor of the Year 2015 Awards under the category Best Learning Management System

Finalist at HR Vendor of the Year 2015 Awards under the category Best Learning Management System & Best Talent Management Software

Finalist at HR Vendor of the Year 2015 Awards under the category Best Talent Management Software

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