Applied Machine Learning Explainability Techniques

Make ML models explainable and trustworthy for practical applications using LIME, SHAP, and more

Publisher:Packt Publishing Limited

By: Aditya Bhattacharya

Paid access

|Sep 2024

E-Book €27.99Institutions €125.95

This title is not yet available for download

E-Book €27.99Institutions €125.95

This title is not yet available for download

PDF ISBN: 978-1-80323-416-8

Publisher: Packt Publishing Limited

Publication date: 2024

Language: English

Pages: 306

Related subjects:

Computer sciences,

Artificial intelligence

BISAC subjects:

COM004000,

COM089000,

COM037000

Thema subjects:

UYQ,

UYZF,

UNC,

UYA,

UYQM

Applied Machine Learning Explainability Techniques

Metrics

People also read

Publications carousel

Hands-On Explainable AI (XAI) with Python

Interpretable Machine Learning with Python

Interpretable Machine Learning with Python

Deep Learning and XAI Techniques for Anomaly Detection

Applied Machine Learning

Responsible AI in the Enterprise

Machine Learning Quick Reference

Practical Machine Learning

Mastering Machine Learning Algorithms

Debugging Machine Learning Models with Python

People also read

Paradigm

My account

People also read

Publications carousel

Hands-On Explainable AI (XAI) with Python

Interpretable Machine Learning with Python

Interpretable Machine Learning with Python

Deep Learning and XAI Techniques for Anomaly Detection

Applied Machine Learning

Responsible AI in the Enterprise

Machine Learning Quick Reference

Practical Machine Learning

Mastering Machine Learning Algorithms

Debugging Machine Learning Models with Python