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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

References

Samira Pouyanfar, Yudong Tao, Anup Mohan, Haiman Tian, Ahmed S. Kaseb, Kent Gauen, Ryan Dailey, Sarah Aghajanzadeh, Yung-Hsiang Lu, Shu-Ching Chen, and Mei-Ling Shyu. 2018. Dynamic Sampling in Convolutional Neural Networks for Imbalanced Data Classification. In 2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR), pages 112–117, Miami, FL, April. IEEE.
LeNet-5 paper, Gradient-based learning applied to document classification: http://vision.stanford.edu/cs598_spring07/papers/Lecun98.pdf.
AlexNet paper, ImageNet Classification with Deep Convolutional Neural Networks: https://papers.nips.cc/paper/2012/hash/c399862d3b9d6b76c8436e924a68c45b-Abstract.html.
Leveraging Real-Time User Actions to Personalize Etsy Ads (2023): https://www.etsy.com/codeascraft/leveraging-real-time-user-actions-to-personalize-etsy-ads.
Automated image tagging at Booking.com (2017): https://booking.ai/automated-image-tagging-at-booking-com-7704f27dcc8b...

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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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