Join us Dec. 7 at 6:30 p.m. at Cloudera (https://maps.google.com/maps?f=q&hl=en&q=515+Congress+Avenue%2C+Suite+1212%2C+Austin%2C+TX%2C+us) for a data science discussion around machine learning. Pizza and beverages will be served. Please RSVP to help ensure the correct amount of pizza is delivered.
Machine learning is a method of data analysis that automates the building of analytical models. By using algorithms that iteratively learn from data, computers are able to find hidden insights without the help of explicit programming. These insights bring tremendous benefits into many different domains. For business users, in particular, these insights help organizations improve customer experience, become more competitive, and respond much faster to opportunities or threats. The availability of very powerful in-memory computing platforms, such as the open-source Apache Ignite (https://ignite.apache.org/), means that more organizations can benefit from machine learning today.
In this presentation, Denis will look at some of the main components of Apache Ignite, such as a distributed database, distributed computations, and machine learning toolkit. Through examples, attendees will learn how Apache Ignite can be used for data analysis.
Denis Magda is a Director of Product Management at GridGain Systems and Apache Ignite PMC Chair. He is an expert in distributed systems and platforms. Before joining GridGain and becoming a part of Apache Ignite community, he worked for Oracle where he led the Java ME Embedded Porting Team -- helping Java open new boundaries by entering the IoT market.