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IBM Watson Projects

You're reading from  IBM Watson Projects

Product type Book
Published in Sep 2018
Publisher Packt
ISBN-13 9781789343717
Pages 340 pages
Edition 1st Edition
Languages
Author (1):
James D. Miller James D. Miller
Profile icon James D. Miller
Toc

Table of Contents (12) Chapters close

Preface 1. The Essentials of IBM Watson 2. A Basic Watson Project 3. An Automated Supply Chain Scenario 4. Healthcare Dialoguing 5. Social Media Sentiment Analysis 6. Pattern Recognition and Classification 7. Retail and Personalized Recommendations 8. Integration for Sales Forecasting 9. Anomaly Detection in Banking Using AI 10. What's Next 11. Other Books You May Enjoy

Developing the pattern recognition and classification project

The IBM Watson Analytics product documentation states that a prediction is a container for a predictive analysis and specifies the dataset that is being analyzed. A prediction can also specify the field properties that override the field properties in the dataset. By defining prediction-specific field properties, one can create custom analyses of the data.

Each Watson Analytics prediction you create can have different targets and inputs. After you create a prediction, you then review it to see the output from the analysis—and hopefully—new visual and text insights.

As a cue, the objective of this chapter's project is to determine what columns in our data affects the column position. In other words, we want to predict what combination of a player's characteristics or capabilities will best determine...

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