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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Benefits of using Spark ML as compared to existing libraries
AMQ Lab at Berkley Evaluated Spark, and RDDs were evaluated through a series of experiments on Amazon EC2 as well as benchmarks of user applications.
- Algorithms used: Logistical Regression and k-means
- Use case: First iteration, multiple iterations.
All the tests used m1.xlarge EC2 nodes with 4 cores and 15 GB of RAM. HDFS was for storage with 256 MB blocks. Refer to the following graph:
The preceding graph shows the comparison between the performance of Hadoop and Spark for the first and subsequent iteration for Logistical Regression:
The preceding graph shows the comparison between ...
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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.