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Comet for Data Science
Comet for Data Science

Comet for Data Science: Enhance your ability to manage and optimize the life cycle of your data science project

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Profile Icon Angelica Lo Duca
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$12.99 per month
Full star icon Full star icon Full star icon Full star icon Half star icon 4.7 (6 Ratings)
Paperback Aug 2022 402 pages 1st Edition
eBook
$37.99
Paperback
$46.99
Subscription
Free Trial
Renews at $12.99p/m
Arrow left icon
Profile Icon Angelica Lo Duca
Arrow right icon
$12.99 per month
Full star icon Full star icon Full star icon Full star icon Half star icon 4.7 (6 Ratings)
Paperback Aug 2022 402 pages 1st Edition
eBook
$37.99
Paperback
$46.99
Subscription
Free Trial
Renews at $12.99p/m
eBook
$37.99
Paperback
$46.99
Subscription
Free Trial
Renews at $12.99p/m

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Key benefits

  • Discover techniques to build, monitor, and optimize your data science projects
  • Move from prototyping to production using Comet and DevOps tools
  • Get to grips with the Comet experimentation platform

Description

This book provides concepts and practical use cases which can be used to quickly build, monitor, and optimize data science projects. Using Comet, you will learn how to manage almost every step of the data science process from data collection through to creating, deploying, and monitoring a machine learning model. The book starts by explaining the features of Comet, along with exploratory data analysis and model evaluation in Comet. You’ll see how Comet gives you the freedom to choose from a selection of programming languages, depending on which is best suited to your needs. Next, you will focus on workspaces, projects, experiments, and models. You will also learn how to build a narrative from your data, using the features provided by Comet. Later, you will review the basic concepts behind DevOps and how to extend the GitLab DevOps platform with Comet, further enhancing your ability to deploy your data science projects. Finally, you will cover various use cases of Comet in machine learning, NLP, deep learning, and time series analysis, gaining hands-on experience with some of the most interesting and valuable data science techniques available. By the end of this book, you will be able to confidently build data science pipelines according to bespoke specifications and manage them through Comet.

Who is this book for?

This book is for anyone who has programming experience, and wants to learn how to manage and optimize a complete data science lifecycle using Comet and other DevOps platforms. Although an understanding of basic data science concepts and programming concepts is needed, no prior knowledge of Comet and DevOps is required.

What you will learn

  • Prepare for your project with the right data
  • Understand the purposes of different machine learning algorithms
  • Get up and running with Comet to manage and monitor your pipelines
  • Understand how Comet works and how to get the most out of it
  • See how you can use Comet for machine learning
  • Discover how to integrate Comet with GitLab
  • Work with Comet for NLP, deep learning, and time series analysis

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Aug 26, 2022
Length: 402 pages
Edition : 1st
Language : English
ISBN-13 : 9781801814430
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Product Details

Publication date : Aug 26, 2022
Length: 402 pages
Edition : 1st
Language : English
ISBN-13 : 9781801814430
Category :
Concepts :
Tools :

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Customer reviews

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Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.7
(6 Ratings)
5 star 66.7%
4 star 33.3%
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Dhruv Nair Sep 13, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Angelica has done a wonderful job of showing how Comet’s Experiment Management tool can be incorporated into each step of the model development process, from data exploration, to model training, evaluation and deployment. She highlights the specific features of the Comet product that can be applied at each step, and provides detailed examples of how to use these features.Her writing is accessible, and the tutorials are comprehensive and easy to follow. The best part of this book, is that code examples and datasets are provided for all the topics she covers!I would recommend this book to any ML practitioner who is would like to learn how to structure their model development in a way that never lets them lose track of their work, and ensures that their efforts are always reproducible.
Amazon Verified review Amazon
Emilie Lewis Dec 20, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
A fantastic look at the Comet platform and how it can be used to streamline data science and machine learning pipelines. Dr. Lo Duca writes with a clear and thoughtful voice providing great examples and usecases. A must-read for all data scientists!
Amazon Verified review Amazon
Rebecca Sep 14, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Super excited for this book!
Amazon Verified review Amazon
Bikram subba Oct 14, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Being self touched learner! I love the way of coding and dataset code examples. Her writing is accessible, and the tutorials are comprehensive and easy to follow. The best part of this book that I fall in love is that code examples and datasets are provided for all the topics she covers!I would highly recommend this book to any ML beginners who love to learn how to structure their model development in a way that never lets them lose track of their work. Overall, book is highly worthy to explore for ML.
Amazon Verified review Amazon
Amazon Customer Nov 14, 2022
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
Comet for data science provides a great platform for doing end to end ML project. It will also make it easy to collaborate with other developers on the same project. The good thing about the book is it’s use cases and covers it from the data to report.
Amazon Verified review Amazon
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