April 2017
Intermediate to advanced
532 pages
12h 39m
English
book
Machine Learning with Spark - Second Edition
by Rajdeep Dua, Brian O'Neill, Stephen Boesch, Manpreet Singh Ghotra, Nick Pentreath
Content preview from Machine Learning with Spark - Second Edition
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Designing a Machine Learning System
In this chapter, we will design a high-level architecture for an intelligent, distributed machine learning system that uses Spark as its core computation engine. The problem we will focus on will be taking the existing architecture for a web-based business and redesigning it to use automated machine learning systems to power key areas of the business.
Before we dig deeper into our scenario, we will spend some time understanding what machine learning is.
Then we will:
- Introduce a hypothetical business scenario
- Provide an overview of the current architecture
- Explore various ways in which machine learning systems can enhance or replace certain business functions
- Provide a new architecture based on these ideas ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.