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: | 24 |
| Created: | 2020-08-29 |
| License: | CC BY-NC-SA 4.0 |
| Author(s): | Christoph Molnar |
Others Machine learning Tutorials
Understanding Machine Learning: From Theory to Algorithms
An Introduction to Machine Learning, 2nd Edition
Efficient Learning Machines: Theories, Concepts, and Applications for Engineers and System Designers
Others related eBooks about Interpretable Machine Learning: A Guide for Making Black Box Models Explainable
Mastering AWS DevelopmentThis book is a practical guide to developing, administering, and managing applications and..., download free AWS Development tutorial in PDF (416 pages) created by Uchit Vyas ....
A Case Study in Community-Driven Software AdoptionDownload free course A Case Study in Community-Driven Software Adoption, pdf file on 39 pages by O'Reilly Media....
Building Cloud Apps with Microsoft AzureDownload free course Building Cloud Apps with Microsoft Azure, pdf file on 201 pages by by Scott Guthrie, Mark Simms, Tom Dykstra, Rick Anderson, Mike Wasson....
Azure Cognitive Services SuccinctlyDownload free course Azure Cognitive Services Succinctly, pdf file on 115 pages by by Ed Freitas....
Reinforcement Learning: An Introduction, Second EditionReinforcement Learning (RL), one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard...
Information technology project managers' competenciesDownload free course Information technology project managers' competencies, pdf file on 269 pages by Carl Marnewick, Wikus Erasmus, Nazeer Joseph....
Digital Video Concepts, Methods, and MetricsDownload free course Digital Video Concepts, Methods, and Metrics, pdf file on 359 pages by Shahriar Akramullah....
MATLAB tutorial in PDFDownload free MATLAB tutorial course in PDF, training file in 34 chapters and 227 pages. Free unaffiliated ebook created from Stack OverFlow contributor....
Kubernetes PatternsDownload free course Kubernetes Patterns, pdf file on 266 pages by Bilgin Ibryam, Roland Huß....
Building Secure and Reliable SystemsDownload free course Building Secure and Reliable Systems, pdf file on 557 pages by by Betsy Beyer, Piotr Lewandowski, Ana Oprea, Paul Blankinship, Heather Adkins, Adam Stubblefield....