Interpretable Machine Learning: A Guide for Making Black Box Models Explainable
This book explains to you how to make (supervised) machine learning models 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.
| Pages : | : 318 pages |
| Size : | : HTML |
| File type : | |
| Downloads: | 20 |
| Created: | 2020-08-29 |
| License: | CC BY-NC-SA 4.0 |
| Author(s): | Christoph Molnar |
Others Machine learning Tutorials
An Introduction to Machine Learning, 2nd Edition
The Hundred-Page Machine Learning Book
Others related eBooks about Interpretable Machine Learning: A Guide for Making Black Box Models Explainable
Learning Neo4jDownload free course Learning Neo4j, pdf file on 222 pages by Rik Van Bruggen....
Migrating to Cloud-Native Application ArchitecturesDownload free course Migrating to Cloud-Native Application Architectures, pdf file on 58 pages by Matt Stine....
TensorFlow RoadmapA deep learning is of great interest these days, the crucial necessity for rapid and optim..., download free TensorFlow tutorial in PDF (22 pages) created by Amirsina Torfi ....
Visual Studio for Mac SuccinctlyDownload free course Visual Studio for Mac Succinctly, pdf file on 107 pages by Alessandro Del Sole....
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...
Introduction to Computer GraphicsCovering 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....
Test-Driven iOS Development with SwiftTest-driven development (TDD) is a proven way to find software bugs early. Writing tests b..., download free Testing tutorial in PDF (218 pages) created by Dr. Dominik Hauser ....
Tutorials of Visual Graphic Communication Programs for Interior DesignDownload free course Tutorials of Visual Graphic Communication Programs for Interior Design, pdf file on 314 pages by Yongyeon Cho....
Snake Wrangling for KidsPython for Kids is a lighthearted introduction to the Python language and to programming i..., download free Snake for Kids tutorial in PDF (153 pages) created by Jason Briggs ....
An Introduction to Machine Learning, 2nd EditionThis book presents fundamental machine learning concepts in an easy to understand manner b..., download free Machine Learning tutorial in PDF (348 pages) created by Miroslav Kubat ....