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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

Starting the project

Let's get going.

In Watson Analytics Refine, it is easy to test our data quality column by column (click Refine, select our file, then click on the Data Metrics icon, which is shown as follows):

It would seem that there are plenty of columns that have very high (98 or above) data quality scores, for example, Advertisement ID, Age Range, Ethnic, and so on. This not only gives us confidence in whatever predictions Watson may come up with, but also affords us the ability to further refine our data to focus more on the specific needs or interests we may have.

For example, suppose we want to establish personal recommendations based upon user behavior of a certain age range? Or perhaps user ethnicities?

Initially, we are going to target those users who fall into the following categories:

  • Retirees (65 -74 years old and older than 75 years too)
  • Caucasian ...
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