Masson-Forsythe Active Machine Learning with Python

Refine and elevate data quality over quantity with active learning
1. Auflage 2024
ISBN: 978-1-83546-268-3
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 176 Seiten

No detailed description available for "Active Machine Learning with Python".

Autoren/Hrsg.

Masson-Forsythe, Margaux

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie

Inhaltsverzeichnis

Table of Contents - Introducing Active Machine Learning
- Designing Query Strategy Frameworks
- Managing the Human in the Loop
- Applying Active Learning to Computer Vision
- Leveraging Active Learning for Big Data
- Evaluating and Enhancing Efficiency
- Utilizing Tools and Packages for Active Learning

Über Autor(innen)

Masson-Forsythe Margaux:

Margaux Masson-Forsythe is a skilled machine learning engineer and advocate for advancements in surgical data science and climate AI. As the Director of Machine Learning at Surgical Data Science Collective, she builds computer vision models to detect surgical tools in videos and track procedural motions. Masson-Forsythe manages a multidisciplinary team and oversees model implementation, data pipelines, infrastructure, and product delivery. With a background in computer science and expertise in machine learning, computer vision, and geospatial analytics, she has worked on projects related to reforestation, deforestation monitoring, and crop yield prediction.