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How You Can Improve Your Machine Learning with Spark

June 28, 2017

In the age of big data, organizations are finding some of the tools they've relied on for analysis in the past are not up to the task of mining very large datasets and delivering real-time information. That's why many data scientists are adopting Apache Spark.

As the leading engine for large-scale data processing, Spark supports popular open-source tools and libraries, including Jupyter Notebooks, R, Python, Scala, and more. Spark delivers the speed and ease of use today's data science teams need to improve the way they collaborate and work with data.

Attend this live webinar with IT industry veteran Aaron Goldberg and IBM's Carlo Appugliese to learn how your organization can take advantage of Spark for machine learning.