No detailed description available for "Comet for Data Science".
Sprache
Verlagsort
Basel/Berlin/Boston
Großbritannien
Zielgruppe
Editions-Typ
Produkt-Hinweis
Dateigröße
ISBN-13
978-1-80181-435-5 (9781801814355)
Schweitzer Klassifikation
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.
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
