Apache: Big Data Europe 2016
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Monday, November 14 • 16:30 - 17:20
SystemML - Declarative Machine Learning - Luciano Resende, IBM

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Machine learning in the enterprise is an iterative process. Data scientists will tweak or replace their learning algorithm in a small data sample until they find an approach that works for the business problem and then apply the Analytics to the full data set. Apache SystemML is a new system that accelerates this kind of exploratory algorithm development for large-scale machine learning problems.Think of SystemML as SQL for Machine Learning, it provides a high-level language to quickly implement and run algorithms, and it also enable cost-based optimizer that takes care of low-level decisions about parallelism, allowing users to focus on the algorithm and the real-world problem that the algorithm is trying to solve. This talk will introduce you to SystemML This talk will introduce you to SystemML and get you started building declarative analytics with SystemML using a Zeppelin notebooks.

avatar for Luciano Resende

Luciano Resende

Architect, Spark Technology Center, IBM
Luciano Resende is an Architect in IBM Analytics. He has been contributing to open source at The ASF for over 10 years, he is a member of ASF and is currently contributing to various big data related Apache projects including Spark, Zeppelin, Bahir. Luciano is the project chair for... Read More →

Monday November 14, 2016 16:30 - 17:20 CET
Santa Cruz