Jeff Smith
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.
Follow Jeff on twitter or check out his website http://www.reactivemachinelearning.com/
Talks I've Given
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Lightning Talks 2
Featuring Bas Geerdink, Jeff Smith, Aurelien Waite and Karl Brodowsky
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
scala scalax computers -
Collecting Uncertain Data the Reactive Way
Featuring Jeff Smith
Before you can even get started building large-scale data analytic systems, you need to start with one crucial element: data. Collecting data, especially collecting lots of data, is harder than it seems. Data ingested with the wrong data model can be worse than no data at all, and a data...
reactive machine-learning big-data uncertain-data databases