Patrick R. Nicolas, "Scala for Machine Learning"
Details
Title:
Scala for Machine Learning
Abstract:
What makes Scala particularly suitable to implement machine learning techniques?
The presentation introduces some of the features of Scala critical in building scientific and data mining applications:
- Implementation of mathematical abstractions (monadic kernels..)
- Dynamic instantiation of data transformations and workflows (dependency injection)
- Scalable execution (streaming, data flow control)
Note: Knowledge machine learning is not a pre-requisite to understand the concepts in the presentation
Bio:
Patrick Nicolas is a lead R&D engineer at Dell (Santa Clara). He has 25+ years experience in software engineering, building large scale applications using C++, Java and Scala. His interests include real-time data analytics, modeling and information geometry.
He is the author of "Scala for Machine Learning" Packt Publishing ISBN: 978-1-783355-874-2 2014
Schedule
• 6:30-7:00 - networking
• 7:00-7:10 - announcements etc
• 7:10-~8:40 - talk
• 8:40-9:00 - networking