1 option
Discount Quality for Responsible Data Science : Human-In-the-Loop for Quality Data.
- Format:
- Book
- Author/Creator:
- Pernici, Barbara.
- Series:
- PoliMI SpringerBriefs, x 2282-2585
- Language:
- English
- Physical Description:
- 1 online resource (147 pages)
- Edition:
- 1st ed.
- Place of Publication:
- Cham : Springer, 2026.
- Summary:
- This open access book presents a "discount"-quality approach to data preparation for scientific data analysis, a critical prerequisite in modern applications such as data analysis projects, Artificial Intelligence, and Machine Learning.
- Contents:
- SpringerBriefs in Applied Sciences and Technology
- Discount Quality for Responsible Data Science
- Preface
- Acknowledgements
- Contents
- 1. Sustainable Data Preparation: An Introduction
- 2. Data-Centric AI: The Role of Data Quality Dimensions and Dataset Characteristics
- 3. Don't Waste Resources on Data Preparation (Do it On-Demand)
- 4. Reconciliation-Based Data Enrichment
- 5. Lightweight Pipelines: Good Enough is Sometimes Better
- 6. Human Factors in Data Preparation
- 7. Key Insights and Future Opportunities for Sustainable Data Preparation.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 9783032294814
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.