Explore reactive machine learning and functional programming principles in this YOW! 2015 conference talk. Discover how to build responsive, resilient, elastic, and message-driven machine learning applications using Scala, Akka, and Spark. Delve into the relationship between reactive systems architectures and patterns like Lambda Architecture, Event Sourcing, and CQRS. Learn how functional programming idioms enable the implementation of reactive machine learning systems through practical examples. Gain insights into building modern distributed systems for big data applications, focusing on architectural solutions that combine reactive principles with machine learning concepts.
Reactive Machine Learning and Functional Programming
Overview
Syllabus
Introduction
Example Problem
Reactive Data Architecture
Feature Extraction
Model Learning
Model Implementation
Model Supervisor
Taught by
GOTO Conferences
