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Data Augmentation with Python

You're reading from Data Augmentation with Python Enhance deep learning accuracy with data augmentation methods for image, text, audio, and tabular data

Product type Paperback

Published in Apr 2023

Publisher Packt

ISBN-13 9781803246451

Length 394 pages

Edition 1st Edition

Languages

Python

Tools

BERT

Concepts

Data Science

Author (1):

Duc Haba

View More author details

Table of Contents (17) Chapters

Preface

1. Part 1: Data Augmentation

2. Chapter 1: Data Augmentation Made Easy FREE CHAPTER

3. Chapter 2: Biases in Data Augmentation

4. Part 2: Image Augmentation

5. Chapter 3: Image Augmentation for Classification

6. Chapter 4: Image Augmentation for Segmentation

7. Part 3: Text Augmentation

8. Chapter 5: Text Augmentation

9. Chapter 6: Text Augmentation with Machine Learning

10. Part 4: Audio Data Augmentation

11. Chapter 7: Audio Data Augmentation

12. Chapter 8: Audio Data Augmentation with Spectrogram

13. Part 5: Tabular Data Augmentation

14. Chapter 9: Tabular Data Augmentation

15. Index

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16. Other Books You May Enjoy

Real-world tabular datasets

There are thousands of real-world tabular datasets on the Kaggle website. Pluto has chosen two tabular datasets for this process.

The Bank Account Fraud Dataset Suite (NeurIPS 2022) contains six synthetic bank account fraud tabular datasets. Each dataset contains 1 million records. They are based on real-world data for fraud detection. Each dataset focuses on a different type of bias. Sergio Jesus, Jose Pombal, and Pedro Saleiro published the dataset in 2022 under the Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license. The Kaggle link is https://www.kaggle.com/datasets/sgpjesus/bank-account-fraud-dataset-neurips-2022.

The World Series Baseball Television Ratings is a dataset for audiences watching the baseball World Series on television from 1969 to 2022. Matt OP published the dataset in 2022 under the CC0 1.0 Universal (CC0 1.0) Public Domain Dedication license. The Kaggle link is https://www.kaggle.com/datasets/mattop...

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Authors (1)

Duc Haba

Duc Haba

Mr. Duc Haba is a lifelong technologist and researcher specializing in Deep Learning and Generative AI. He has been a programmer, Enterprise Mobility Solution Architect, AI Solution Architect, Principal, VP, CTO, and CEO. The companies range from startups and IPOs to enterprise companies. Duc's career started with Xerox Palo Alto Research Center (PARC), researching expert systems (ruled-based) for Xerox copier diagnostics. After PARC, he joined Oracle, following Viant Consulting as a founding member. He jumped headfirst into the entrepreneurial culture in Silicon Valley. There were slightly more failures than successes, but the highlights are working with Oracle, Viant, and RRKidz. Currently, he is happy working at YML as the AI Solution Architect.

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