July 2018
Intermediate to advanced
474 pages
13h 37m
English
book
Apache Spark Deep Learning Cookbook
by Ahmed Sherif, Amrith Ravindra, Michal Malohlava, Adnan Masood
Content preview from Apache Spark Deep Learning Cookbook
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How it works...
This section explains how we create our Spark cluster and configure our first dataframe.
- In Spark, we use .master() to specify whether we will run our jobs on a distributed cluster or locally. For the purposes of this chapter and the remaining chapters, we will be executing Spark locally with one worker thread as specified with .master('local'). This is fine for testing and development purposes as we are doing in this chapter; however, we may run into performance issues if we deployed this to production. In production, it is recommended to use .master('local[*]') to set Spark to run on as many worker nodes that are available locally as possible. If we had 3 cores on our machine and we wanted to set our node count to match ...
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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.