Interpretable Machine Learning


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.
Download free tutorial in PDF (312 pages) created by Christoph Molnar .
Pages : 312
Size :
File type : HTML
Downloads: 145
Created: 2021-05-15
License: Free
Author(s): Christoph Molnar
Interpretable Machine Learning

Others Machine Learning Tutorials

Automated Machine Learning

Machine Learning Yearning

Efficient Learning Machines: Theories, Concepts, and Applications for Engineers and System Designers

An Introduction to Machine Learning, 2nd Edition

Automated Machine Learning: Methods, Systems, Challenges

Others related eBooks about Interpretable Machine Learning

Power BI Succinctly

Download free course Power BI Succinctly, pdf file on 146 pages by Pierstefano Tucci....

Computer Science Tapestry: Exploring Programming and Computer Science with C++

This book is designed for a first course1 in computer science that uses C++ as the language by which programming is studied. My goal in writing the book has not been to cover the syntax of a large language like C++, but to leverage the best features of the language using sound practices of prog...

A Practical Guide to TPM 2.0

A Practical Guide to TPM 2.0: Using the Trusted Platform Module in the New Age of Security..., download free TPM 2.0 tutorial in PDF (392 pages) created by Will Arthur ....

Rails on Containers

This book is designed to introduce you to using containers and Kubernetes for full-stack d..., download free Rails tutorial in PDF (316 pages) created by Kathleen Juell ....

Migrating to Cloud-Native Application Architectures

Download free course Migrating to Cloud-Native Application Architectures, pdf file on 58 pages by Matt Stine....

XSLT Tutorial in PDF

Download XSLT Tutorial in PDF, free training document in 47 pages by Dan Olteanu....

Introduction to Computer Graphics

Covering the fundamentals of computer graphics and computer graphics programming. This book is meant for use as a textbook in a one-semester course that would typically be taken by undergraduate computer science majors in their third or fourth year of college....

Haskell tutorial for professionals

Download free Haskell tutorial course in PDF, training file in 78 chapters and 230 pages. Free unaffiliated ebook created from Stack OverFlow contributor....

Tensorflow 2 Tutorial

TensorFlow is a free and open-source software library for machine learning. It can be used..., download free Tensorflow tutorial in PDF (66 pages) created by Ren Zhang ....

HackSpace Magazine: Issue 50

Download free course HackSpace Magazine: Issue 50, pdf file on 116 pages by HackSpace Team....