Stanford Data Science Machine Learning Meetup

Stanford Data Science Machine Learning Meetup

Stanford Data Science Machine Learning MeetupThe Stanford Data Science Machine Learning Meetup is hosting a special 2-hour, hands-on workshop for data scientists on Jan. 15 from 6-8 p.m. in Menlo Park, Calif. The presenter will be Denis Magda, director of product management at GridGain Systems and Apache® Ignite™ vice president.

This work shop features Apache Ignite.
Apache Ignite is an open-source distributed database, caching and processing platform, designed to store and compute on large volumes of data across a cluster of nodes. This in-memory computing platform is durable, strongly consistent, and highly available with powerful SQL, key-value and processing APIs.

Attendees will be introduced to the fundamental capabilities of in-memory computing platforms that boost highly-loaded applications, research projects, machine learning, risk analysis and fraud-detection tasks.
How? By storing and processing massive amounts of data in memory and on disk across a cluster of machines.

By the end of the workshop the attendees will learn how to:
- Apply machine learning algorithms supported by Apache Ignite
- Deploy a distributed Apache Ignite cluster
- Preload data into the cluster
- Create custom calculations and algorithms
- Solve optimizations problems by simulating the process of biological evolution.

This is a free event thanks to sponsorship by GridGain Systems. RSVP here to reserve your spot!

Denis Magda
Former VP, Developer Relations in R&D at GridGain; Apache Ignite committer and PMC member
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