January 2018
Intermediate to advanced
470 pages
11h 9m
English
Content preview from Scala Machine Learning Projects
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Scala Play web service
As an application framework, Play2 was chosen as an easy-to-configure and robust framework. Compared to Spring (another popular framework), it takes less time to make a small app from scratch. The Play comes with Guice for dependency injection and SBT as the package manager:
- Spark ML: The Spark ML library was chosen as it is one of the best-maintained libraries in the Java world. Many algorithms not available in the library itself are implemented by third-party developers and can be trained on top of Spark. A drawback of Spark is that it is quite slow, as by design it is supposed to be distributed; so it uses Hadoop and writes a lot into the filesystem.
- Akka: This allows implementing the actor's pattern—having several ...
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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.