Practical Guide to Applied Conformal Prediction in Python: Learn and apply the best uncertainty frameworks to your industry applications
Valery Manokhin
Take your machine learning skills to the next level by mastering the best framework for uncertainty quantification - Conformal Prediction
Key Features
Master Conformal Prediction, a fast-growing ML framework, with Python applications.
Explore cutting-edge methods to measure and manage uncertainty in industry applications.
The book will explain how Conformal Prediction differs from traditional machine learning.
Key Features
Master Conformal Prediction, a fast-growing ML framework, with Python applications.
Explore cutting-edge methods to measure and manage uncertainty in industry applications.
The book will explain how Conformal Prediction differs from traditional machine learning.
კატეგორია:
წელი:
2023
გამოცემა:
1
გამომცემლობა:
Packt Publishing
ენა:
english
გვერდები:
240
ISBN 10:
1805122762
ISBN 13:
9781805122760
ფაილი:
EPUB, 6.87 MB
IPFS:
,
english, 2023
ამ წიგნის ჩამოტვირთვა მიუწვდომელია საავტორო უფლებების მფლობელის საჩივრის გამო