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IBM Watson Projects

You're reading from   IBM Watson Projects Eight exciting projects that put artificial intelligence into practice for optimal business performance

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Product type Paperback
Published in Sep 2018
Publisher Packt
ISBN-13 9781789343717
Length 340 pages
Edition 1st Edition
Languages
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Authors (2):
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Armen Pischdotchian Armen Pischdotchian
Author Profile Icon Armen Pischdotchian
Armen Pischdotchian
James D. Miller James D. Miller
Author Profile Icon James D. Miller
James D. Miller
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Toc

Table of Contents (12) Chapters Close

Preface 1. The Essentials of IBM Watson FREE CHAPTER 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

Summary ribbon

Across the top of the Top Predictors page is what I refer to as the summary ribbon of the predictive model generated by Watson Analytics. The summary ribbon includes thumbnail images showing the following information:

  • Targets
  • Data Quality (score)
  • Analysis Details
  • Top Field Associations
  • Model Highlight

An explanation of what information each thumbnail provides is given here:

  • Targets thumbnail:

The targets thumbnail lists the targets defined in the model. In our example, we have one target, Dollar Amount Sold. You also can click Edit and change the targets in the model.

  • Data Quality thumbnail:

The data quality score measures the degree to which the data used in the model is appropriate to be utilized for predictive analysis. It is an average of the data quality score for every field in the dataset, as determined by missing and constant values, influential...

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