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The Regularization Cookbook

You're reading from The Regularization Cookbook Explore practical recipes to improve the functionality of your ML models

Product type Paperback

Published in Jul 2023

Publisher Packt

ISBN-13 9781837634088

Length 424 pages

Edition 1st Edition

Languages

Ring

Tools

Astro

Concepts

Machine Learning

Author (1):

Vincent Vandenbussche

View More author details

Table of Contents (14) Chapters

Preface

1. Chapter 1: An Overview of Regularization

2. Chapter 2: Machine Learning Refresher FREE CHAPTER

3. Chapter 3: Regularization with Linear Models

4. Chapter 4: Regularization with Tree-Based Models

5. Chapter 5: Regularization with Data

6. Chapter 6: Deep Learning Reminders

7. Chapter 7: Deep Learning Regularization

8. Chapter 8: Regularization with Recurrent Neural Networks

9. Chapter 9: Advanced Regularization in Natural Language Processing

10. Chapter 10: Regularization in Computer Vision

11. Chapter 11: Regularization in Computer Vision – Synthetic Image Generation

12. Index

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13. Other Books You May Enjoy

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Authors (1)

Vincent Vandenbussche

Vincent Vandenbussche

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.

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