Download Third Edition source code.tar.gz (Interpretable machine learning)

Other Useful Business Software

Try Google Cloud Risk-Free With $300 in Credit

No hidden charges. No surprise bills. Cancel anytime.

Use your credit across every product. Compute, storage, AI, analytics. When it runs out, 20+ products stay free. You only pay when you choose to.

Start Free

99.99% Uptime for Your Most Critical Databases

Sub-second maintenance. 2x read/write performance. Built-in vector search for AI apps.

Cloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.

Try Free

Powerful App Monitoring Without Surprise Bills

AppSignal starts at $23/month with all features included. No overages, no hidden fees. 30-day free trial.

Tired of monitoring tools that punish you for scaling? AppSignal offers transparent, predictable pricing with every feature unlocked on every plan. Track errors, monitor performance, detect anomalies, and manage logs across Ruby, Python, Node.js, and more. Trusted by developers since 2012 with free dev-to-dev support. No credit card required to start your 30-day trial.

Try AppSignal Free

AI-powered service management for IT and enterprise teams

Enterprise-grade ITSM, for every business

Give your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.

Try it Free

Go From Idea to Deployed AI App Fast

One platform to build, fine-tune, and deploy. No MLOps team required.

Access Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.

Try Free

Interpretable machine learning Overview

Book about interpretable machine learning

This book is about interpretable machine learning. Machine learning is being built into many products and processes of our daily lives, yet decisions made by machines don't automatically come with an explanation. An explanation increases the trust in the decision and in the machine learning model. As the programmer of an algorithm you want to know whether you can trust the learned model. Did it learn generalizable features? Or are there some odd artifacts in the training data which the algorithm picked up? This book will give an overview over techniques that can be used to make black boxes as transparent as possible and explain decisions. In the first chapter algorithms that produce simple, interpretable models are introduced together with instructions how to interpret the output. The later chapters focus on analyzing complex models and their decisions. In an ideal future, machines will be able to explain their decisions and make a transition into an algorithmic age more human.

Additional Details for Interpretable machine learning

Programming Language

Python

Registered

2022-02-08

Last Updated

2025-03-13

Maintainers

sf-editor1

Keep Me Updated!

Get an email when this software releases a new version (no other emails will be sent). Get newsletters and notices that include site news, special offers and exclusive discounts about IT products & services.

I understand by clicking on "Subscribe" below I am agreeing to the SourceForge Terms of Use and the Privacy Policy which describe how we use and share your data. I agree to receive these communications from SourceForge.net. I understand that I can withdraw my consent at anytime.

JavaScript is required for this form.

Interpretable machine learning