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Machine Learning for Imbalanced Data

You're reading from Machine Learning for Imbalanced Data Tackle imbalanced datasets using machine learning and deep learning techniques

Product type Paperback

Published in Nov 2023

Publisher Packt

ISBN-13 9781801070836

Length 344 pages

Edition 1st Edition

Languages

Rust

Tools

TensorFlow Lite

Concepts

Data Science

Authors (2):

Dr. Mounir Abdelaziz

Kumar Abhishek

View More author details

Table of Contents (15) Chapters

Preface

1. Chapter 1: Introduction to Data Imbalance in Machine Learning FREE CHAPTER

2. Chapter 2: Oversampling Methods

3. Chapter 3: Undersampling Methods

4. Chapter 4: Ensemble Methods

5. Chapter 5: Cost-Sensitive Learning

6. Chapter 6: Data Imbalance in Deep Learning

7. Chapter 7: Data-Level Deep Learning Methods

8. Chapter 8: Algorithm-Level Deep Learning Techniques

9. Chapter 9: Hybrid Deep Learning Methods

10. Chapter 10: Model Calibration

11. Assessments

12. Index

Why subscribe?

13. Other Books You May Enjoy

Appendix: Machine Learning Pipeline in Production

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

A

activation function 153

AdaBoost 103, 104

Adaptive Synthetic Sampling (ADASYN) 47

working 47-49

aggregating 92

algorithm-based techniques

deeper neural networks 240

regularization techniques 239

Siamese networks 239

threshold adjustment 240

AllKNN method 74-76

Amazon

oversampling techniques, in production 46

anomaly detection 27

artificial intelligence 4

AugMix function 192-194

average precision 18

B

backpropagation 155

bagging methods 101, 102

bagging techniques for imbalanced data 91-95

bagging methods 101, 102

OverBagging 97, 99

SMOTEBagging 99-101

UnderBagging 96, 97

balanced accuracy score 13

batch normalization 158

beta calibration 293

binary classification 264

boosting methods

performance comparison...

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Authors (2)

Kumar Abhishek

Kumar Abhishek

Kumar Abhishek is a seasoned Senior Machine Learning Engineer at Expedia Group, US, specializing in risk analysis and fraud detection for Expedia brands. With over a decade of experience at companies such as Microsoft, Amazon, and a Bay Area startup, Kumar holds an MS in Computer Science from the University of Florida.

See other products by Kumar Abhishek

Dr. Mounir Abdelaziz

Dr. Mounir Abdelaziz

Dr. Mounir Abdelaziz is a deep learning researcher specializing in computer vision applications. He holds a Ph.D. in computer science and technology from Central South University, China. During his Ph.D. journey, he developed innovative algorithms to address practical computer vision challenges. He has also authored numerous research articles in the field of few-shot learning for image classification.

See other products by Dr. Mounir Abdelaziz

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