From 5b085a7cce2bbcfc13cfef985d7b9e40e79b8684 Mon Sep 17 00:00:00 2001 From: Mikko Ohtamaa Date: Fri, 11 Oct 2024 19:47:08 +0200 Subject: [PATCH] Add more books --- source/learn/books.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/source/learn/books.rst b/source/learn/books.rst index 84804d6..8bfda62 100644 --- a/source/learn/books.rst +++ b/source/learn/books.rst @@ -89,7 +89,7 @@ Written by Wes McKinney, the creator of the Python pandas project, this book is Practical Guide to Applied Conformal Prediction: Learn and apply the best uncertainty frameworks to your industry applications ------------------------------------------------------------------------------------------------------------------------------ -mbark on an insightful journey with 'Practical Guide to Applied Conformal Prediction in Python', a comprehensive resource that equips you with the latest techniques to quantify uncertainty in machine learning and computer vision models effectively. +Embark on an insightful journey with 'Practical Guide to Applied Conformal Prediction in Python', a comprehensive resource that equips you with the latest techniques to quantify uncertainty in machine learning and computer vision models effectively. This book covers a wide array of real-world applications, including Conformal Prediction for forecasting, computer vision, and NLP, as well as advanced examples for handling imbalanced data and multi-class classification problems. These practical case studies will enable you to apply your newfound knowledge to various industry scenarios.