Christensen / Bajaj / Gosada Data-Centric Machine Learning with Python

The ultimate guide to engineering and deploying high-quality models based on good data
1. Auflage 2024
ISBN: 978-1-80461-241-5
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 378 Seiten

No detailed description available for "Data-Centric Machine Learning with Python".

Autoren/Hrsg.

Christensen, Jonas

Bajaj, Nakul

Gosada, Manmohan

Weitere Mitwirkende

Borne, Kirk D.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Table of Contents - Exploring Data-Centric Machine Learning
- From Model-Centric to Data-Centric – ML's Evolution
- Principles of Data-Centric ML
- Data Labeling Is a Collaborative Process
- Techniques for Data Cleaning
- Techniques for Programmatic Labeling in Machine Learning
- Using Synthetic Data in Data-Centric Machine Learning
- Techniques for Identifying and Removing Bias
- Dealing with Edge Cases and Rare Events in Machine Learning
- Kick-Starting Your Journey in Data-Centric Machine Learning

Über Autor(innen)

Christensen Jonas:

Jonas Christensen has spent his career leading data science functions across multiple industries. He is an international keynote speaker, postgraduate educator, and advisor in the fields of data science, analytics leadership, and machine learning and host of the Leaders of Analytics podcast.Bajaj Nakul:

Nakul Bajaj is a data scientist, MLOps engineer, educator and mentor, helping students and junior engineers navigate their data journey. He has a strong passion for MLOps, with a focus on reducing complexity and delivering value from machine learning use-cases in business and healthcare.Gosada Manmohan:

Manmohan Gosada is a seasoned professional with a proven track record in the dynamic field of data science. With a comprehensive background spanning various data science functions and industries, Manmohan has emerged as a leader in driving innovation and delivering impactful solutions. He has successfully led large-scale data science projects, leveraging cutting-edge technologies to implement transformative products. With a postgraduate degree, he is not only well-versed in the theoretical foundations of data science but is also passionate about sharing insights and knowledge. A captivating speaker, he engages audiences with a blend of expertise and enthusiasm, demystifying complex concepts in the world of data science.