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Shopify’s Approach to Leverage Recursive Embedding and Clustering to Enhanced Data Explainability
InfoQ - AI, ML & Data Engineering www.infoq.com
One of the main challenges of any online business is to get actionable insight from their data for decision-making. Shopify shares its methodology and experience to solve this problem by clustering diverse data sets through a unique method involving dimensionality reduction, recursion, and supervised machine learning.
By Reza Rahimiai big data business challenges clustering data data analytics data sets decision dimensionality diverse embedding experience explainability insight machine machine learning making methodology ml & data engineering recursion recursive shares shopify solve supervised machine learning through