Search icon
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletters
Free Learning
Arrow right icon
Data Labeling in Machine Learning with Python

You're reading from  Data Labeling in Machine Learning with Python

Product type Book
Published in Jan 2024
Publisher Packt
ISBN-13 9781804610541
Pages 398 pages
Edition 1st Edition
Languages
Author (1):
Vijaya Kumar Suda Vijaya Kumar Suda
Profile icon Vijaya Kumar Suda

Table of Contents (18) Chapters

Preface Part 1: Labeling Tabular Data
Chapter 1: Exploring Data for Machine Learning Chapter 2: Labeling Data for Classification Chapter 3: Labeling Data for Regression Part 2: Labeling Image Data
Chapter 4: Exploring Image Data Chapter 5: Labeling Image Data Using Rules Chapter 6: Labeling Image Data Using Data Augmentation Part 3: Labeling Text, Audio, and Video Data
Chapter 7: Labeling Text Data Chapter 8: Exploring Video Data Chapter 9: Labeling Video Data Chapter 10: Exploring Audio Data Chapter 11: Labeling Audio Data Chapter 12: Hands-On Exploring Data Labeling Tools Index Other Books You May Enjoy

Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

Machine Learning for Imbalanced Data

Kumar Abhishek, Dr. Mounir Abdelaziz

ISBN: 978-1-80107-083-6

  • Use imbalanced data in your machine learning models effectively
  • Explore the metrics used when classes are imbalanced
  • Understand how and when to apply various sampling methods such as over-sampling and under-sampling
  • Apply data-based, algorithm-based, and hybrid approaches to deal with class imbalance
  • Combine and choose from various options for data balancing while avoiding common pitfalls
  • Understand the concepts of model calibration and threshold adjustment in the context of dealing with imbalanced datasets

Data-Centric Machine Learning with Python

Jonas Christensen, Nakul Bajaj

ISBN: 978-1-80461-812-7

  • Learn the principles of data centricity and...

Packt is searching for authors like you

If you’re interested in becoming an author for Packt, please visit authors.packtpub.com and apply today. We have worked with thousands of developers and tech professionals, just like you, to help them share their insight with the global tech community. You can make a general application, apply for a specific hot topic that we are recruiting an author for, or submit your own idea.

Share your thoughts

Now you’ve finished Data Labeling in ML and AI with Python, we’d love to hear your thoughts! If you purchased the book from Amazon, please click here to go straight to the Amazon review page for this book and share your feedback or leave a review on the site that you purchased it from.

Your review is important to us and the tech community and will help us make sure we’re delivering excellent quality content.

Download a free PDF copy of this book

Thanks for purchasing this book!

Do you like to read on the go but are unable to carry your print books everywhere?

Is your eBook purchase not compatible with the device of your choice?

Don’t worry, now with every Packt book you get a DRM-free PDF version of that book at no cost.

Read anywhere, any place, on any device. Search, copy, and paste code from your favorite technical books directly into your application.

The perks don’t stop there, you can get exclusive access to discounts, newsletters, and great free content in your inbox daily

Follow these simple steps to get the benefits:

  1. Scan the QR code or visit the link below

https://packt.link/free-ebook/9781804610541

2. Submit your proof of purchase

3. That’s it! We’ll send your free PDF and other benefits to your email directly

lock icon The rest of the chapter is locked
arrow left Previous Chapter
You have been reading a chapter from
Data Labeling in Machine Learning with Python
Published in: Jan 2024 Publisher: Packt ISBN-13: 9781804610541
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.
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}