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This talk explains how to build responsive, resilient, elastic, message-driven machine learning applications using reactive architecture and functional programming principles. Examples use Scala, Akka, and Spark, and connect reactive systems with Lambda Architecture, Event Sourcing, and CQRS.
Syllabus
Introduction
Example Problem
Reactive Data Architecture
Feature Extraction
Model Learning
Model Implementation
Model Supervisor
Taught by
GOTO Conferences