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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

Summary

We just completed the journey through advanced concepts in Comet!

Throughout this chapter, you learned how to share projects and workspaces with your collaborators, as well as how to make them public or private. In addition, you learned some advanced concepts on experiments and models.

Regarding experiments, you learned about the concept of offline experiments, which permitted you to run an experiment if the internet connection is not available. In addition, you learned about the concept of existing experiments, which permitted you to continue an experiment—for example, by enriching or extending it.

Regarding models, you learned how to optimize model parameters, through the concept of the Comet Optimizer. Using the Comet Optimizer makes it simple to choose the best parameters for a given model.

Finally, you extended the basic examples defined in Chapter 1, An Overview of Comet, with the concepts described in this chapter.

In the next chapter, you will...

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