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

Enhance your ability to manage and optimize the life cycle of your data science project

Angelica Lo Duca

BIRMINGHAMMUMBAI

Copyright 2022 Packt Publishing

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First published: August 2022

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Jesus Christ: yesterday, today, forever.

- Angelica Lo Duca

We founded Comet in 2017 to provide machine learning developers with tools and empower them to create business value with artificial intelligence. Since then, tens of thousands of community practitioners worldwide have adopted Comet to manage and optimize models across the complete MLOps life cycle.

We work with organizations across industries, including Affirm, Ancestry, Etsy, The RealReal, Uber, and Zappos, who use Comet to increase productivity, accelerate model development, and achieve value with AI.

We were thrilled to have Dr. Angelica Lo Duca join our community when she shared her work on Heartbeat, Comets editorially independent publication. As she learned more about our MLOps platform, she shared those learnings with readers through clear, concise language and detailed code snippets and model visualizations.

A data journalist, Dr. Lo Duca guides the reader through the machine learning development journey with Comet, from exploratory data analysis through model deployment, showing the process of creating business value. In reading this book, you will come to understand Dr. Lo Ducas strategic use of Comet and her perspectives on how our platform plays a key role in the modern MLOps stack.

Writing a book is a huge undertaking, and while Dr. Lo Duca wrote and produced this book independently, we have supported her by reviewing the content. We hope it is useful as you explore what is possible when you use Comet to manage and optimize machine learning and deep learning models across the complete development life cycle.

Sign up for your free Comet account and join our Slack community. Simply visit Comets website (www.comet.com) to find us. Also, I personally invite you to share your work with our community! We look forward to learning about the amazing discoveries and business value you create with Comet.

Happy reading,

Gideon Mendels CEO and Founder Comet

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 has participated in many international projects and events, including as a member of the Program Committee. 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.

First of all, I would like to thank Packts fantastic editorial team. Thank you for your support, commitment, competence, and availability throughout this long journey toward the publication of this book.

Secondly, I would like to thank Comets wonderful team, who contributed to defining the topics of each chapter of this book. Without their contribution, it would not have been possible to carry out this project. A special thanks to Emilie Lewis and Dhruv Nair from the Comet team for their patience and dedication.

Next, a big thank you to my husband, my father, my sister, Nando, and Silvana, for their patience and for supporting me during the good times and the most difficult ones.

Finally, a big thank you to my children, who pave the way toward a future with hope through their eyes and their smiles.

Devanshu Tayal is a data science enthusiast with experience in travel and banking. With a masters degree from BITS Pilani, he has also studied mechanical engineering at IK Gujral Punjab Technical University. In his spare time, Devanshu enjoys researching new applications for data science, playing music, and playing badminton. Diversity and inclusion, Python, algorithms, data structures, machine learning, natural language processing, Tableau, Power BI, data visualization, and AI are some of his other interests.

Emil Bogomolov is a machine learning lead at Youpi Inc. He is engaged in creating new ways of collaboration using video. Previously, he was a research engineer in the computer vision group at the Skolkovo Institute of Science and Technology. He is the co-author of papers published at international conferences, such as VISAPP, WACV, and CVPR, and an educational courses author on data analysis at online schools. Emil is also a frequent speaker at technology conferences and author of tech articles on machine learning and AI.