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Paperback

Weka Practice

$66.99
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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.

Weka is a strong yet approachable machine learning and data mining tool. Data mining and big data are hot topics right now. Rather than diving into intricate mathematical theories or sophisticated algorithmic details, this course emphasizes hands-on experience with Weka and the practical applications of data mining tools and techniques. In addition to performing text classification and working with datasets with millions of instances, students will also investigate clustering, association rules, and other topics.

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MORE INFO
Format
Paperback
Publisher
LAP Lambert Academic Publishing
Date
11 October 2024
Pages
68
ISBN
9786208172282

This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.

Weka is a strong yet approachable machine learning and data mining tool. Data mining and big data are hot topics right now. Rather than diving into intricate mathematical theories or sophisticated algorithmic details, this course emphasizes hands-on experience with Weka and the practical applications of data mining tools and techniques. In addition to performing text classification and working with datasets with millions of instances, students will also investigate clustering, association rules, and other topics.

Read More
Format
Paperback
Publisher
LAP Lambert Academic Publishing
Date
11 October 2024
Pages
68
ISBN
9786208172282