Real-time Learning with Spark
summary
Shows how to process streaming data with Apache Spark and MLlib to perform real-time machine learning: building and updating models as new data arrives so you can make immediate decisions. It focuses on solving the computational cost of model construction and the challenge of accessing data in real time by using Spark streaming and MLlib algorithms.
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chapters (9)
- 0:00Welcome
- 1:08What is real-time learning?
- 3:55Real-time system needs
- 9:55Machine learning intro
- 14:29Apache Spark
- 17:38Spark Streaming setup
- 21:50Streaming algorithms in Spark
- 27:26Use cases and conclusions
- 37:56Q&A
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