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)

Data peeking

As part of each of the Watson Analytics projects thus far in this book, we have always taken a moment to review or peek at the data we will be loading into Watson and ultimately be working with (for example, in the previous chapter, we covered this in the Gathering and reviewing of data section).

It's an important step in any project, even if the peek is simply a conversation with the data provider about some background and what might be expected to be in the file.

Here is what we should know in this project.

Football is one sport that is rich in data. From game results, betting/bookmaking, fantasy football leagues to the NFL Combine, the sport is overflowing with data. Let's look at the combine (as a data source).

The NFL Scouting Combine is a week-long showcase occurring every February, where college football players perform physical and mental tests...