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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

Time Series

Earlier in this chapter, we mentioned common forecasting methods. One popular approach uses Time Series analysis to identify trends. When asking questions about data, trend is a very important keyword. By creating a question in Watson Analytics, you can have Watson use line visualizations to help you identify trends in the data. This would be of value in our Time Series forecasts.

To illustrate this, we can (for example) use the following question in Watson Analytics:

Which will generate the following visualization:

View of Gross margin using Product line

Of course, it is very easy to filter the visualization by clicking on a Product line listed on the right-hand side of the page:

If we click on the word Product line in the question, we can easily change Product line to Product:

And then, like before, filter the products to the three golfing products we want...

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