Vandenbussche The Regularization Cookbook

Explore practical recipes to improve the functionality of your ML models
1. Auflage 2023
ISBN: 978-1-83763-972-4
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 424 Seiten

No detailed description available for "The Regularization Cookbook".

Autoren/Hrsg.

Vandenbussche, Vincent

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik
• Mathematik | Informatik EDV | Informatik Informatik
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle

Inhaltsverzeichnis

Table of Contents - An Overview of Regularization
- Machine Learning Refresher
- Regularization with Linear Models
- Regularization with Tree-Based Models
- Regularization with Data
- Deep Learning Reminders
- Deep Learning Regularization
- Regularization with Recurrent Neural Networks
- Advanced Regularization in Natural Language Processing
- Regularization in Computer Vision
- Regularization in Computer Vision

Über Autor(innen)

Vandenbussche Vincent:

Since gaining a Ph.D. in physics, Vincent Vandenbussche has worked for a decade in diverse companies, deploying ML solutions at scale. He has worked at numerous companies, such as Renault, L'Oréal, General Electric, Jellysmack, Chanel, and CERN. He also has a passion for teaching; he co-founded a data science boot camp, was an ML lecturer at MINES ParisTech engineering school and EDHEC Business School, and trained numerous professionals at companies such as ArcelorMittal and Orange.