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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

Product type Paperback

Published in Sep 2018

Publisher Packt

ISBN-13 9781789343717

Length 340 pages

Edition 1st Edition

Languages

Python

Tools

IBM Watson

Concepts

Artificial Intelligence

Authors (2):

Armen Pischdotchian

James D. Miller

View More author details

Table of Contents (17) Chapters

Title Page

Copyright and Credits

Packt Upsell

Contributors

Preface

1. The Essentials of IBM Watson

2. A Basic Watson Project FREE CHAPTER

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

1. Other Books You May Enjoy

Leave a review - let other readers know what you think

Index

Chapter 2. A Basic Watson Project

In this chapter we elected to use a use case project that will analyze trip log data from a driving services company to determine which trip characteristics may have a direct effect on a trips profitability; what type of trip is most profitable and which are prone to complications. This first Watson project serves to cover the basics of a simple Watson project - preparing the reader for the upcoming, more complex projects presented in the following chapters.

We'll breakdown this first chapter into:

The problem defined
Getting started
Building your Watson project
Reviewing the results

You have been reading a chapter from

IBM Watson Projects

Published in: Sep 2018

Publisher: Packt

ISBN-13: 9781789343717

© 2018 Packt Publishing Limited All Rights Reserved

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Authors (2)

Armen Pischdotchian

Armen Pischdotchian

See other products by Armen Pischdotchian

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.

See other products by James D. Miller

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