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

de Angelica Lo Duca (Author)
4.7 4.7 de 5 estrellas 7 calificaciones
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Opciones de compra y productos Add-on

Gain the key knowledge and skills required to manage data science projects using Comet


Key Features:

  • 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


Book 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.


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


Who this book is 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.

Diapositiva anterior de detalles del producto
  1. ISBN-10
    1801814430
  2. ISBN-13
    978-1801814430
  3. Editorial
    Packt Publishing
  4. Fecha de publicación
    26 Agosto 2022
  5. Idioma
    Inglés
  6. Dimensiones
    9.25 x 7.52 x 0.83 pulgadas
  7. Número de páginas
    402 páginas
  8. Ver todos los detalles
Siguiente diapositiva de detalles del producto

Opiniones editoriales

Críticas

“Managing data science projects is difficult―Complex pipelines are tricky to implement without error, can present problems when you try to share them with others, and are not usually built with reproducibility in mind. Approaches to management are far from cut-and-dried, in part due to projects being alive, meaning they must continually integrate new data and be re-evaluated.

Comet can help with all of this since it’s made to help manage experiments, evaluate models, and version data, all while making reproducibility and collaboration straightforward. Comet for Data Science, masterfully written by Angelica Lo Duca, provides a bottom-up approach to learning how to manage data science projects with Comet, and does so without assuming you have any prior experience with data science project management. Every aspect of project management is well-explained, so you’ll come away with the confidence to use Comet to manage your own practical data science projects right away.

This book is a welcome addition to my data science bookshelf.”

--

Matthew Mayo, Editor-in-Chief at KDnuggets

Biografía del autor

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.

Detalles del producto

  • Editorial ‏ : ‎ Packt Publishing (26 Agosto 2022)
  • Idioma ‏ : ‎ Inglés
  • Tapa blanda ‏ : ‎ 402 páginas
  • ISBN-10 ‏ : ‎ 1801814430
  • ISBN-13 ‏ : ‎ 978-1801814430
  • Dimensiones ‏ : ‎ 9.25 x 7.52 x 0.83 pulgadas
  • Opiniones de clientes:
    4.7 4.7 de 5 estrellas 7 calificaciones

Sobre el autor

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Angelica Lo Duca

Angelica Lo Duca

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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 interests include 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. She has participated in different national and international projects, and events. She has been a member of the Program Committee at different conferences. She is also part of the Editorial Team of the HighTech And Innovation Journal. She owns a personal blog, where she publishes articles on her research interests.

Lo Duca's personal blog is www.alod83.com and her Twitter account is @alod83

Opiniones de clientes

4.7 de 5 estrellas
7 calificaciones globales

Opiniones destacadas de los Estados Unidos

Traducir todas las opiniones al Español
Rebecca
5.0 de 5 estrellas Awesome!
Calificado en Estados Unidos el 14 de septiembre de 2022
Compra verificada
Super excited for this book!
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Amazon Customer
4.0 de 5 estrellas Its nice for end to end ML project
Calificado en Estados Unidos el 14 de noviembre de 2022
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.
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Emilie Lewis
5.0 de 5 estrellas Cohesive and Insightful
Calificado en Estados Unidos el 20 de diciembre de 2022
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!
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Dhruv Nair
5.0 de 5 estrellas An excellent introduction to Comet and using Experiment Management tools for ML Development
Calificado en Estados Unidos el 13 de septiembre de 2022
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.
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Bikram subba
5.0 de 5 estrellas Overall, Easy to understand and book is very detail and step by step action implementation!
Calificado en Estados Unidos el 14 de octubre de 2022
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.
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dtm
4.0 de 5 estrellas A Welcomed Read
Calificado en Estados Unidos el 27 de septiembre de 2022
I like what I see in this book but if we are talking about the lifecycle, would like to see more focus on all of the phase gate activities including test and evaluation (T&E). Within AI and ML product development, there seems to be such a lack of published content on the T&E topic.
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arnaldo morena
5.0 de 5 estrellas Un manuale per sfruttare al massimo Comet
Calificado en Italia el 31 de mayo de 2023
Compra verificada
Questo libro fornisce concetti e casi d'uso pratici che possono essere utilizzati per creare, monitorare e ottimizzare rapidamente progetti di data science. Utilizzando Comet, si può gestire quasi ogni fase del processo di data science, dalla raccolta dei dati, alla preparazione fino alla creazione, distribuzione e monitoraggio di un modello di machine learning. Il progetto viene organizzato in ogni suo dettaglio partendo dai concetti di DevOps e estendendo la piattaforma GitLab DevOps trattando vari casi d'uso in machine learning, NLP, deep learning e analisi di serie temporali! Abbiamo avuto L'autrice ospite delle nostre interviste ed è stato veramente un piacere poter ascoltare live le risposte ai nostri quesiti
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