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Название: Introduction To Conformal Prediction With Python: A Short Guide For Quantifying Uncertainty Of Machine Learning Models
Автор: Christoph Molnar
Издательство: Leanpub
Год: 2023-02-14
Страниц: 101
Язык: английский
Формат: pdf (true), epub
Размер: 11.8 MB
This book teaches you how to quantify the uncertainty of machine learning models with conformal prediction in Python. Introduction To Conformal Prediction With Python is the quickest way to learn an easy-to-use and very general technique for uncertainty quantification. This book is for data scientists, statisticians, machine learners and all other modelers who want to learn how to quantify uncertainty with conformal prediction. Even if you already use uncertainty quantification in one way or another, conformal prediction is a valuable addition to your toolbox.
Автор: Christoph Molnar
Издательство: Leanpub
Год: 2023-02-14
Страниц: 101
Язык: английский
Формат: pdf (true), epub
Размер: 11.8 MB
This book teaches you how to quantify the uncertainty of machine learning models with conformal prediction in Python. Introduction To Conformal Prediction With Python is the quickest way to learn an easy-to-use and very general technique for uncertainty quantification. This book is for data scientists, statisticians, machine learners and all other modelers who want to learn how to quantify uncertainty with conformal prediction. Even if you already use uncertainty quantification in one way or another, conformal prediction is a valuable addition to your toolbox.