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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

Product type Paperback

Published in Aug 2022

Publisher Packt

ISBN-13 9781801814430

Length 402 pages

Edition 1st Edition

Tools

Gitlab

Concepts

Data Science

Author (1):

Angelica Lo Duca

View More author details

Table of Contents (16) Chapters

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 have just completed the journey to move your model from testing to production and use Comet to keep your model up to date!

Throughout this chapter, you have reviewed some basic concepts related to DevOps and MLOps, as well as the DevOps and MLOps life cycle. You have also learned how to integrate Comet in the DevOps/MLOps life cycle, and how to use it to keep track of the best model.

You have also reviewed the basic concepts behind Docker and Kubernetes, two popular platforms to build DevOps applications. Finally, you have implemented two examples: the first one integrated Comet in a Docker image, and the second one integrated Comet with an application deployed in Kubernetes.

In the next chapter, you will review some basic concepts behind releasing software, with a particular focus on GitLab and how to integrate it with Comet.

The rest of the chapter is locked

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Authors (1)

Angelica Lo Duca

Angelica Lo Duca

Angelica Lo Duca is a researcher at the Institute of Informatics and Telematics of the National Research Council, Italy. She is also an external professor of Data Journalism at the University of Pisa. Her research includes Data Science, Data Journalism, and Web Applications. She used to work on Network Security, Semantic Web, Linked Data and Blockchain. She has published more than 40 scientific papers at national and international conferences and journals, and participated in many international projects and events, including as a member of the Program Committee.

See other products by Angelica Lo Duca

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