Spark ML
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May 1, 2024
3 minute read
Apache Spark ML is a library that utilizes the Spark’s unified analytics engine to perform machine learning tasks on large datasets. As Apache Spark is designed to provide efficient and fault-tolerant distributed computing, Apache Spark ML offers a suite of tools to handle massive amounts of data.
Machine Learning with Spark ML
Spark ML is an imperative programming library, containing tools and algorithms for tasks like:
- Data transformation
- Feature transformation
- Model fitting
- Model evaluation
- Machine learning pipelines
Spark ML supports various supervised and unsupervised learning algorithms, making it a versatile toolkit for tackling various data science and machine learning challenges.
Scalability and Performance
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Find a path to becoming a Spark ML. Learn more at:
OpenCourser.com/topic/vmwe9t/spark
