We can't find the internet
Attempting to reconnect
Something went wrong
Hang in there while we get back on track
£44.00
It has never been this cheap. We have no record of a lower price.
£44 today · cheaper than every other day in the last 3 months
Interpretable Machine Learning - Explainable AI Guide
We'll watch every seller, every day. One email when your price arrives.
Price History & Forecast
Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.
Last 60 days · 60 data points (no recent data)
NEW HERE?
Amazon shows you one price. We show you all of them.
Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.
WHAT'S ON THIS PAGE
when this has been cheap or pricey
where the price is heading next
all-time high & low, recent range
name your number, we'll email you
Price Distribution
Price distribution over 60 days • 1 price levels
Price Analysis
Most common price: £44 (60 days, 100.0%)
Price range: £44 - £44
Price levels: 1 different prices over 60 days
Description
Key Features
Covers a wide range of interpretability methods from inherently interpretable models to advanced techniques.
Provides detailed instruction on using SHAP, LIME, and permutation feature importance to explain any model.
Includes specialized interpretation methods specifically designed for deep neural networks.
Explains the fundamental reasons why interpretability is important in the field of machine learning.
Authored by Christoph Molnar to provide a comprehensive guide for making black box models explainable.
Product Specifications
- Format
- paperback
- ASIN
- 3911578032
- Domain
- Amazon UK
- Release Date
- 12 March 2025
- Listed Since
- 13 March 2025
Barcode
No barcode data available
Similar Products You Might Like
Interpretable Machine Learning with Python: Learn to build interpretable high-performance models with hands-on real-world examples
Packt Publishing
Mathematics of Machine Learning: Master linear algebra, calculus, and probability for machine learning
Packt Publishing
Practical Machine Learning with Python: A Problem-Solver's Guide to Building Real-World Intelligent Systems
Apress
Practical Machine Learning with R - Chapman and Hall/CRC Book
Chapman and Hall/CRC
Machine Learning for Business Analytics: Concepts, Techniques, and Applications with Analytic Solver Data Mining
Wiley
Hands-On Machine Learning with C++: Build, train, and deploy end-to-end machine learning and deep learning pipelines
Packt Publishing
Machine Learning: From the Classics to Deep Networks, Transformers, and Diffusion Models
Elsevier
Meta-Learning: Theory, Algorithms and Applications
Elsevier
Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python
Packt Publishing
Intelligent Systems Signal Processing Conference Proceedings 2020
Springer
Data Science and Predictive Analytics: Biomedical and Health Applications using R (The Springer Series in Applied Machine Learning)
Springer
No-Code Data Science: Mastering Advanced Analytics, Machine Learning, and Artificial Intelligence
Lulu
Data Science and Predictive Analytics: Biomedical and Health Applications using R (The Springer Series in Applied Machine Learning)
Springer
Scala for Machine Learning - Second Edition: Build systems for data processing, machine learning, and deep learning
Packt Publishing
Machine Learning for Business Analytics: Concepts, Techniques, and Applications in Python
Wiley
Analytical Methods in Statistics: AMISTAT, Liberec, Czech Republic, September 2019: 329 (Springer Proceedings in Mathematics & Statistics, 329)
Springer
Model-Based Machine Learning
Chapman and Hall/CRC
Modern Statistics: A Computer-Based Approach with Python (Statistics for Industry, Technology, and Engineering)
Birkhauser
Understanding Regression Analysis: A Conditional Distribution Approach
CRC Press
Machine Learning: A Guide to Current Research: 12 (The Springer International Series in Engineering and Computer Science, 12)
Springer
Machine Learning Technologies and Applications: Proceedings of ICACECS 2020 (Algorithms for Intelligent Systems)
Springer
Machine Learning for Business Analytics: Concepts, Techniques and Applications in RapidMiner
Wiley
Theory of Statistical Inference (Chapman & Hall/CRC Texts in Statistical Science)
Chapman and Hall/CRC
Wiley Machine Learning for Business Analytics in R Textbook
Wiley