Reader small image

You're reading from  Machine Learning for Imbalanced Data

Product typeBook
Published inNov 2023
Reading LevelBeginner
PublisherPackt
ISBN-139781801070836
Edition1st Edition
Languages
Concepts
Right arrow
Authors (2):
Kumar Abhishek
Kumar Abhishek
author image
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.
Read more about Kumar Abhishek

Dr. Mounir Abdelaziz
Dr. Mounir Abdelaziz
author image
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.
Read more about Dr. Mounir Abdelaziz

View More author details
Right arrow

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...

Why subscribe?

  • Spend less time learning and more time coding with practical eBooks and Videos from over 4,000 industry professionals
  • Improve your learning with Skill Plans built especially for you
  • Get a free eBook or video every month
  • Fully searchable for easy access to vital information
  • Copy and paste, print, and bookmark content

Did you know that Packt offers eBook versions of every book published, with PDF and ePub files available? You can upgrade to the eBook version at packtpub.com and as a print book customer, you are entitled to a discount on the eBook copy. Get in touch with us at customercare@packtpub.com for more details.

At www.packtpub.com, you can also read a collection of free technical articles, sign up for a range of free newsletters, and receive exclusive discounts and offers on Packt books and eBooks.

lock icon
The rest of the chapter is locked
You have been reading a chapter from
Machine Learning for Imbalanced Data
Published in: Nov 2023Publisher: PacktISBN-13: 9781801070836
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
undefined
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $15.99/month. Cancel anytime

Authors (2)

author image
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.
Read more about Kumar Abhishek

author image
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.
Read more about Dr. Mounir Abdelaziz