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Mastering Machine Learning with Spark 2.x

You're reading from   Mastering Machine Learning with Spark 2.x Harness the potential of machine learning, through spark

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Product type Paperback
Published in Aug 2017
Publisher Packt
ISBN-13 9781785283451
Length 340 pages
Edition 1st Edition
Languages
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Authors (3):
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Alex Tellez Alex Tellez
Author Profile Icon Alex Tellez
Alex Tellez
Michal Malohlava Michal Malohlava
Author Profile Icon Michal Malohlava
Michal Malohlava
Max Pumperla Max Pumperla
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Max Pumperla
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Toc

Modeling goal

In this example, we would like to build a model based on information about physical activities to classify unseen data and annotate it with the corresponding physical activity.

Challenges

For the sensor data, there are numerous way to explore and build models. In this chapter, we mainly focus on classification; however, there are several aspects which would need deeper exploration, especially the following:

  • Training data represents a time-ordered flow of events, but we are not going to reflect the time information but look at the data as one complete piece of information
  • The same for test data -a single activity event is a part of an event stream captured during performing an activity and it can be easier to...
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