Practical Guide to Applied Conformal Prediction in Python

Preface

Embark on an insightful journey with “Practical Guide to Applied Conformal Prediction in Python,” your comprehensive guide to mastering uncertainty quantification in machine learning. This book unfolds the complexities of Conformal Prediction, focusing on practical applications that span classification, regression, forecasting, computer vision, and natural language processing. It also delves into sophisticated techniques for addressing imbalanced datasets and multi-class classification challenges, presenting case studies that bridge theory with real-world practice.

This resource is meticulously crafted for a diverse readership, including data scientists, machine learning engineers, industry professionals, researchers, academics, and ...