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Practical Java Machine Learning: Projects with Google Cloud Platform and Amazon Web Services
book

Practical Java Machine Learning: Projects with Google Cloud Platform and Amazon Web Services

by Mark Wickham
October 2018
Intermediate to advanced
410 pages
8h 38m
English
Apress
Content preview from Practical Java Machine Learning: Projects with Google Cloud Platform and Amazon Web Services
© Mark Wickham 2018
Mark WickhamPractical Java Machine Learninghttps://doi.org/10.1007/978-1-4842-3951-3_5

5. Machine Learning Environments

Mark Wickham1 
(1)
Irving, TX, USA
 
You have learned about data and algorithms. Next, you will put the pieces together and build the CML model. ML environments perform a critical function. They act as an important piece of middleware, enabling you to create ML models from the data for later use by your application. This chapter will cover the following:
  • Introduce the steps required during the model creation phase.

  • Review the Java-based ML environments, including a high-level overview of the RapidMiner and KNIME Java ML environments.

  • Offer a detailed review, including complete setup instructions for the Weka ML environment. ...

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Publisher Resources

ISBN: 9781484239513Purchase LinkPublisher Website