Interpretable Machine Learning

This book PDF is perfect for those who love Artificial intelligence genre, written by Christoph Molnar and published by Lulu.com which was released on 06 May 2024 with total hardcover pages 320. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Interpretable Machine Learning books below.

Interpretable Machine Learning
Interpretable Machine Learning
Author : Christoph Molnar
File Size : 50,9 Mb
Publisher : Lulu.com
Language : English
Release Date : 06 May 2024
ISBN : 9780244768522
Pages : 320 pages
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Interpretable Machine Learning by Christoph Molnar Book PDF Summary

This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.

Interpretable Machine Learning

Interpretable Machine Learning by Christoph Molnar

This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and

Get Book
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