Join Andreas to discuss machine learning, data science—in particular with Python—and using scikit-learn.
Andreas Mueller is a research engineer at the NYU Center for Data Science, building open source software for data science. Previously, he worked as a machine-learning scientist at Amazon, developing solutions for computer vision and forecasting problems. Andreas is one of the core developers of the scikit-learn machine-learning library and has comaintained it for several years. His mission is to create open tools to lower the barrier of entry for machine-learning applications, promote reproducible science, and democratize the access to high-quality machine-learning algorithms.
©2016, O'Reilly Media, Inc. • (800) 889-8969 or (707) 827-7019 • Monday-Friday 7:30am-5pm PT • All trademarks and registered trademarks appearing on oreilly.com are the property of their respective owners. • firstname.lastname@example.org
Apache Hadoop, Hadoop, Apache Spark, Spark, and Apache are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries, and are used with permission. The Apache Software Foundation has no affiliation with and does not endorse, or review the materials provided at this event, which is managed by O'Reilly Media and/or Cloudera.