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Explore the world of distributed machine learning using Apache Spark in this comprehensive conference talk. Dive into introductory machine learning concepts and principles, illustrated with scalable use cases. Learn how to leverage Apache Spark as a processing engine for handling large-scale data. Watch as the speakers demonstrate real-life examples using notebooks, progressing from simple analyses to advanced machine learning applications at scale. Gain insights into the democratization of machine learning techniques and their implementation on distributed systems, making these powerful tools more accessible to a wider range of users.
Syllabus
Distributed Machine Learning 101 using Apache Spark from a Browser by Xavier Tordoir/Andy Petrella
Taught by
Devoxx