July 2017
Intermediate to advanced
796 pages
18h 55m
English
Content preview from Scala and Spark for Big Data Analytics
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Understanding text analytics
We have explored the world of machine learning and Apache Spark's support for machine learning in the last few chapters. As we discussed, machine learning has a workflow, which is explained in the following steps:
- Loading or ingesting data.
- Cleansing the data.
- Extracting features from the data.
- Training a model on the data to generate desired outcomes based on features.
- Evaluate or predict some outcome based on the data.
A simplified view of a typical pipeline is as shown in the following diagram:
Hence, there are several stages of transformation of data possible before the model is trained and then subsequently ...
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