Suda Data Labeling in Machine Learning with Python

Explore modern ways to prepare labeled data for training and fine-tuning ML and generative AI models
1. Auflage 2024
ISBN: 978-1-80461-378-8
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 398 Seiten

No detailed description available for "Data Labeling in Machine Learning with Python".

Autoren/Hrsg.

Suda, Vijaya Kumar

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur

Inhaltsverzeichnis

Table of Contents - Exploring Data for Machine Learning
- Labeling Data for Classification
- Labeling Data for Regression
- Exploring Image Data
- Labeling Image Data Using Rules
- Labeling Image Data Using Data Augmentation
- Labeling Text Data
- Exploring Video Data
- Labeling Video Data
- Exploring Audio Data
- Labeling Audio Data
- Hands-On Exploring Data Labeling Tools

Über Autor(innen)

Suda Vijaya Kumar:

Vijaya Kumar Suda is a seasoned data and AI professional boasting over two decades of expertise collaborating with global clients. Having resided and worked in diverse locations such as Switzerland, Belgium, Mexico, Bahrain, India, Canada, and the USA, Vijaya has successfully assisted customers spanning various industries. Currently serving as a senior data and AI consultant at Microsoft, he is instrumental in guiding industry partners through their digital transformation endeavors using cutting-edge cloud technologies and AI capabilities. His proficiency encompasses architecture, data engineering, machine learning, generative AI, and cloud solutions.