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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
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Authors (2):
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Armen Pischdotchian Armen Pischdotchian
Author Profile Icon Armen Pischdotchian
Armen Pischdotchian
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James D. Miller James D. Miller
Author Profile Icon James D. Miller
James D. Miller
James D. Miller is an IBM certified expert, Master Consultant, Application/System Architect with +35 years of applications & system design/development experience across multiple platforms, technologies and data formats, including Big Data. nnHis experience includes IBM Planning Analytics, BI, Web architecture & design, systems analysis, GUI design & testing, Data modeling, design, and development of OLAP, Client/Server, Web & Mainframe applications and systems utilizing: Planning Analytics Workspace (PAW), IBM Watson Analytics, Cognos BI & TM1, Framework Manager, dynaSight/ArcPlan, ASP, DHTML, XML, MS Visual Basic, VBA, PERL, R, SPLUNK, MS SQL Server, ORACLE, etc.nnHe has authored numerous books, including Implementing Splunk - Second Edition; Mastering Splunk; Hands-On Machine Learning with IBM Watson; IBM Watson Projects; Statistics for Data Science; Mastering Predictive Analytics with R - Second Edition and others.nnProject areas include those with Data Analytics, Planning Analytics, and FOPM projects, holding various roles from architect, developer, technical and project leader.
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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

In this chapter, we were presented with a chapter-by-chapter summary as well as what we have (hopefully) learned through performing, or at least following along with, each of the use case projects of this book. And finally, we discussed what you can do to continue with the IBM Watson Analytics learning process and start using Watson Analytics with data or use cases that you're interested in.

Good luck!

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Authors (2)

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Profile icon Armen Pischdotchian
Armen Pischdotchian
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See other products by Armen Pischdotchian
Profile icon James D. Miller
James D. Miller
James D. Miller is an IBM certified expert, Master Consultant, Application/System Architect with +35 years of applications & system design/development experience across multiple platforms, technologies and data formats, including Big Data. His experience includes IBM Planning Analytics, BI, Web architecture & design, systems analysis, GUI design & testing, Data modeling, design, and development of OLAP, Client/Server, Web & Mainframe applications and systems utilizing: Planning Analytics Workspace (PAW), IBM Watson Analytics, Cognos BI & TM1, Framework Manager, dynaSight/ArcPlan, ASP, DHTML, XML, MS Visual Basic, VBA, PERL, R, SPLUNK, MS SQL Server, ORACLE, etc. He has authored numerous books, including Implementing Splunk - Second Edition; Mastering Splunk; Hands-On Machine Learning with IBM Watson; IBM Watson Projects; Statistics for Data Science; Mastering Predictive Analytics with R - Second Edition and others. Project areas include those with Data Analytics, Planning Analytics, and FOPM projects, holding various roles from architect, developer, technical and project leader.
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