endymecy/spark-ml-source-analysis
spark ml 算法原理剖析以及具体的源码实现分析
This project offers detailed explanations and source code analysis for various machine learning algorithms implemented in Spark ML. It helps data scientists and machine learning engineers deepen their understanding of how these algorithms work and are distributed. You can explore a wide range of topics from basic statistics and clustering to dimensionality reduction and feature engineering, providing both theoretical background and practical implementation insights.
1,962 stars. No commits in the last 6 months.
Use this if you are a data scientist or machine learning engineer working with Spark and want to understand the underlying principles and distributed implementations of Spark ML algorithms.
Not ideal if you are looking for a ready-to-use library or tool for data analysis without delving into the internal workings of Spark ML.
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Mar 25, 2019
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