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 the transformations needed on the data to be used in the model.
- One of the first steps to building a model is splitting the data into a training and test dataset for model evaluation purposes. Our goal is to use all of the stock quotes from 2000 through 2016 to predict stock trends in 2017-2018. We know from previous sections that we have a total of 4,610 days of stock quotes, but we don't know exactly how many fall in each year. We can use the groupBy() function within the dataframe to get a unique count of stock quotes per year, as can be seen in the following screenshot:
- 2016 and 2017's combined ...
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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.