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Comet for Data Science

You're reading from   Comet for Data Science Enhance your ability to manage and optimize the life cycle of your data science project

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Product type Paperback
Published in Aug 2022
Publisher Packt
ISBN-13 9781801814430
Length 402 pages
Edition 1st Edition
Tools
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Author (1):
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Angelica Lo Duca Angelica Lo Duca
Author Profile Icon Angelica Lo Duca
Angelica Lo Duca
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Toc

Table of Contents (16) Chapters Close

Preface 1. Section 1 – Getting Started with Comet
2. Chapter 1: An Overview of Comet FREE CHAPTER 3. Chapter 2: Exploratory Data Analysis in Comet 4. Chapter 3: Model Evaluation in Comet 5. Section 2 – A Deep Dive into Comet
6. Chapter 4: Workspaces, Projects, Experiments, and Models 7. Chapter 5: Building a Narrative in Comet 8. Chapter 6: Integrating Comet into DevOps 9. Chapter 7: Extending the GitLab DevOps Platform with Comet 10. Section 3 – Examples and Use Cases
11. Chapter 8: Comet for Machine Learning 12. Chapter 9: Comet for Natural Language Processing 13. Chapter 10: Comet for Deep Learning 14. Chapter 11: Comet for Time Series Analysis 15. Other Books You May Enjoy

Chapter 5: Building a Narrative in Comet

Data narrative, also known as data storytelling, is the art of telling stories starting from data. It is not simply a matter of summarizing the data but of building compelling stories, which can attract not only the attention of the audience they are aimed at but also arouse emotions that push the audience to action.

Data narrative is one of the final processes of the data science project life cycle and can be implemented either in parallel with the model deployment phase or immediately after.

In this chapter, you will review the basic concepts and techniques to build a narrative from data, including an overview of the Data, Information, Knowledge and Wisdom (DIKW) pyramid, and learn how to turn your data into a story. Then, you will learn how to build a narrative in Comet, using the concepts you are already familiar with, such as panels and reports. You will also implement two practical examples.

In detail, the chapter is organized...

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