Recommender System of a Large Dataset in Apache Spark and Python

Photo by Saayed Alam

For this project, I build a recommender system using Alternating Least Squares (ALS) matrix factorization in the cloud (Apache Spark) using R to recommend books based on an individual’s ratings.

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Data Scientist

Saayed Alam creates machine learning products and occasionally gets philosophical.

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