Streamline the Machine Learning Process Using Apache Spark ML Pipelines - DZone Big Data

The use of Machine Learning is growing widespread. Organizations are embracing it in various ways to improve their businesses. The rise of Machine Learning is coupled with the advance of open source big data processing frameworks which makes it possible to analyze tons of data in a cost-effective and efficient way. Apache Spark is one of those frameworks which have grown as a blue eyed technology in this Big Data processing world. Apache Spark provides two libraries- MLlib and ML Pipeline for implementing machine learning. Traditionally, MLlib was the only machine learning library in Apache Spark.