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This session will consist of four 15-minute talks by Jeff Smith, Aurelien (Rory) Waite, Bas Geerdnik, and Karl Brodowsky, where the following topics will be covered; numbers, computers, scala, deep learning, spark, statistics models, translation
Jeff Smith - Collecting Uncertain Data the Reactive Way
Aurelien (Rory) Waite - Scala and Statistical Machine Translation
Bas Geerdnik - The rise of Scala at ING
Karl Brodowsky - Why computers calculate wrong and how to fix it
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Bas is a programmer, scientist, and IT manager. At ING, he is responsible for the Fast Data chapter within the Analytics department. His academic background is in Artificial Intelligence and Informatics. His research on reference architectures for big data solutions was published at the IEEE conference ICITST 2013. Bas has a background in software development, design and architecture with a broad technical view from C++ to Prolog to Scala and is a Spark Certified Developer. He occasionally teaches programming courses and is a regular speaker on conferences and informal meetings.
Jeff Smith builds large-scale machine learning systems using Scala and Spark. For the past decade, he has been working on data science applications at various startups in New York, San Francisco, and Hong Kong. He is a frequent blogger and the author of an upcoming book from Manning on how to build reactive machine learning systems using Scala, Akka, and Spark.
Aurelien is a research scientist at SDL Research, specialising in Machine Translation. He completed his Ph.D at the University of Cambridge under the supervision of Prof. Bill Byrne
Karl has been working for his own company IT Sky Consulting GmbH since 2007, mostly as contractor doing SW development, SW-architecture, and training, including teaching college lectures. He has a sound knowledge of programming languages such as Clojure, Scala, Java, Perl, Ruby, and C.