On September 25-26, SF Scala teams up with Adam Gibson, the creator of deeplearning4j.org, to teach the first ever Distributed Deep Learning with Scala Akka, and Spark workshop. Deep Learning is enabling break-through advances in the areas such as image recognition and natural language processing. It is a renaissance of neural networks, made possible by the vast quantities of data to train them, so that they match human performance on a variety of tasks. Deep Learning is causing a lot of interest across a variety startups understanding domains backed by “big" data, as it’s one of the “easiest” ways to make sense out of data — once you put the algorithms and systems in place making it possible. It turns out that in order to take advantage of the “big” data available, you need to scale out properly — and this is where Scala, Akka, and Spark shine. We’ll present a distributed system approach which makes you, armed with Scala stack, a rival of Google. As we’re offering this course for the first time, we’re keeping the early bird pricing longer for this workshop. Seating is very limited as we’ll work collaboratively. Please sign up at
http://bythebay.ticketleap.com/deep-learning-september-2014/ SF Scala is also offering the Typesafe-certified course, Fast Track to Scala. http://bythebay.ticketleap.com/fast-track-to-scala/ Scala is underpinning multiple Machine Learning stacks such as FACTORIE, ScalaNLP, and has fantastic numerical libraries such as Breeze, Spire, and Saddle. Scala is at the heart of Spark and BDAS. It is the choice of data scientists who want their prototypes work at web-scale and be ready for production. This hands-on workshop will get you from zero to Scala hero in just two days. If you have any questions about these courses, please email train...@bythebay.io. A+ (Alexy) --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
