To help our audience leverage the power of machine learning, the editors of insideBIGDATA have created this weekly article series called “The insideBIGDATA Guide to Machine Learning.” This is our fifth installment, “Supervised Machine Learning.”
Feeling left out because your boss wouldn’t let you attend the Hadoop Summit 2014 happening this week? Not to worry! Here’s a free alternative, especially attractive if you happen to live/work in Los Angeles. The Big Data Camp LA 2014 is a free, all-day conference on Saturday, June 14 hosted at the DirectTV campus near LAX.
Skytree®, the Machine Learning Company®, today announced that its predictive analytics software is now available on Apache Hadoop YARN to deliver agile analytics on Hadoop clusters. Skytree’s flagship product — Skytree Server® — is built to provide high-performance Machine Learning and takes advantage of the multi-workload capabilities enabled by YARN’s increased reliability, scalability and manageability.
Hortonworks and Yahoo! are pleased to host the 7th Annual Hadoop Summit, the leading conference for the Apache Hadoop community. This event, expanded now to three days, June 3-5, will feature many of the Apache Hadoop thought leaders who will showcase successful Hadoop use cases, share development and administration tips and tricks, and educate organizations about how best to leverage Apache Hadoop as a key component in their enterprise data architecture.
This past week I was hot on the Meetup circuit here in Silicon Beach and I decided to take in a presentation “Data Science @ Activision”. Activision is the publisher of the famously popular video game “Call of Duty.” The company has multiple analytic teams. The talk provided a detailed overview of data science at Activision and provided some additional detail on two of their analytic groups: the Game Analytics Team and the Marketing & Advanced Analytics Team.
Guavus, a leading provider of big data analytics solutions, has announced it is an official sponsor of the UC Berkeley AMPLab, a collaborative research effort at UC Berkeley where Spark, Shark and Mesos have been developed.
Here is a great learning resource for anyone wishing to dive into the field of machine learning – a complete class “Machine Learning” from Spring 2011 at Carnegie Mellon University. The course is taught by Tom Mitchell, Chair of the Machine Learning Department.