You're reading from Practical Guide to Applied Conformal Prediction in Python

Product typeBook

Published inDec 2023

PublisherPackt

ISBN-139781805122760

Edition1st Edition

Concepts

Machine Learning

Author (1)

Valery Manokhin

Part 4: Advanced Topics

This part will provide illustrations on how conformal prediction can be used to solve imbalanced data problems, introducing you to various conformal prediction methods that can be used for multi-class classification problems.

This section has the following chapters:

Chapter 11, Handling Imbalanced Data
Chapter 12, Multi-Class Conformal Prediction

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Practical Guide to Applied Conformal Prediction in Python

Published in: Dec 2023Publisher: PacktISBN-13: 9781805122760

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Author (1)

Valery Manokhin

Valeriy Manokhin is the leading expert in the field of machine learning and Conformal Prediction. He holds a Ph.D.in Machine Learning from Royal Holloway, University of London. His doctoral work was supervised by the creator of Conformal Prediction, Vladimir Vovk, and focused on developing new methods for quantifying uncertainty in machine learning models. Valeriy has published extensively in leading machine learning journals, and his Ph.D. dissertation 'Machine Learning for Probabilistic Prediction' is read by thousands of people across the world. He is also the creator of "Awesome Conformal Prediction," the most popular resource and GitHub repository for all things Conformal Prediction.
Read more about Valery Manokhin

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