MLlib can be used to implement machine learning in Spark. Spark provides a scalable machine learning dataset called MLlib. It is primarily used to make machine learning scalable and lightweight, with common learning algorithms and use cases such as clustering, decay filtering, and dimensionality reduction. This is how machine learning can be implemented in Spark.
