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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

Concepts

Artificial Intelligence

Author (1):

James D. Miller

Table of Contents (12) Chapters

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

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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 (1)

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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