We should take note here that we jumped right into refining our data. Sometimes, especially if you are dealing with data completely new to you, you may spend time first exploring your data using the Watson Analytics Explore feature. We will spend time creating explorations later in this book, but for now it is good to mention, that if you refine a dataset, the changes that you make to it are available throughout Watson in Predict, Explore, and Assemble, but if you modify the data in an exploration, the changed data is available only in that exploration.
IBM Watson Projects
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IBM Watson Projects
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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.
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Current Title:
IBM Watson Projects
Table of Contents (12 chapters)
Preface
Free Chapter
The Essentials of IBM Watson
A Basic Watson Project
An Automated Supply Chain Scenario
Healthcare Dialoguing
Social Media Sentiment Analysis
Pattern Recognition and Classification
Retail and Personalized Recommendations
Integration for Sales Forecasting
Anomaly Detection in Banking Using AI
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