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 to do it...
This section will walk through visualizing the data from the San Francisco Fire Department.
- Execute the following script to get a cursory identification of the unique values in the Call Type Group column:
df.select('Call Type Group').distinct().show()
- There are five main categories:
- Alarm.
- Potentially Life-threatening.
- Non Life-threatening.
- Fire.
- null.
- Unfortunately, one of those categories is null values. It would be useful to get a row count of each unique value to identify how many null values there are in the dataset. Execute the following script to generate a row count of each unique value for the column Call Type Group:
df.groupBy('Call Type Group').count().show()
- Unfortunately, there are over 2.8 M rows of data ...
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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.
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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.