Book Image

IBM Watson Projects

By : James D. Miller
Book Image

IBM Watson Projects

By: James D. Miller

Overview of this book

IBM Watson provides fast, intelligent insight in ways that the human brain simply can't match. Through eight varied projects, this book will help you explore the computing and analytical capabilities of IBM Watson. The book begins by refreshing your knowledge of IBM Watson's basic data preparation capabilities, such as adding and exploring data to prepare it for being applied to models. The projects covered in this book can be developed for different industries, including banking, healthcare, media, and security. These projects will enable you to develop an AI mindset and guide you in developing smart data-driven projects, including automating supply chains, analyzing sentiment in social media datasets, and developing personalized recommendations. By the end of this book, you'll have learned how to develop solutions for process automation, and you'll be able to make better data-driven decisions to deliver an excellent customer experience.
Table of Contents (12 chapters)

Summary ribbon

Across the top of the Top Predictors page is what I refer to as the summary ribbon of the predictive model generated by Watson Analytics. The summary ribbon includes thumbnail images showing the following information:

  • Targets
  • Data Quality (score)
  • Analysis Details
  • Top Field Associations
  • Model Highlight

An explanation of what information each thumbnail provides is given here:

  • Targets thumbnail:

The targets thumbnail lists the targets defined in the model. In our example, we have one target, Dollar Amount Sold. You also can click Edit and change the targets in the model.

  • Data Quality thumbnail:

The data quality score measures the degree to which the data used in the model is appropriate to be utilized for predictive analysis. It is an average of the data quality score for every field in the dataset, as determined by missing and constant values, influential...