Lo Duca Comet for Data Science

Enhance your ability to manage and optimize the life cycle of your data science project
1. Auflage 2022
ISBN: 978-1-80181-435-5
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 402 Seiten

No detailed description available for "Comet for Data Science".

Autoren/Hrsg.

Lo Duca, Angelica

Weitere Mitwirkende

Mendels, Gideon

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik

Inhaltsverzeichnis

Table of Contents - An Overview of Comet
- Exploratory Data Analysis in Comet
- Model Evaluation in Comet
- Workspaces, Projects, Experiments and Models
- Building a Narrative in Comet
- Integrating Comet into DevOps
- Extending the Gitlab DevOps Platform with Comet
- Comet for Machine Learning
- Comet for Natural Language Processing
- Comet for Deep Learning
- Comet for Time Series Analysis

Über Autor(innen)

Lo Duca Angelica:

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.