Search from the table of contents of 2.5 million books
Advanced Search (Beta)
Home > Interpretable Machine Learning with Python: Learn to build interpretable high-performance models with hands-on real-world examples

Interpretable Machine Learning with Python: Learn to build interpretable high-performance models with hands-on real-world examples


Book Informaton

Interpretable Machine Learning with Python: Learn to build interpretable high-performance models with hands-on real-world examples

Author

Serg Masís

Year of Publication

2021

Publisher

Packt Publishing

Pages

736

Language

en

ISBN

180020390X, 9781800203907

ARI Id

1673457123477


Find on

World Cat

OpenLibrary

Internet Archive


This page has been accessed 5 times.
Asian Research Index Whatsapp Chanel
Asian Research Index Whatsapp Chanel

Join our Whatsapp Channel to get regular updates.

Citation Options
Download Citation

Showing 1 to 20 of 182 entries
Chapters/HeadingsAuthor(s)PagesInfo
Section 1: Introduction to Machine Learning Interpretation
Chapter 1: Interpretation, Interpretability, and Explainability; and Why Does It All Matter?
Technical requirements
What is machine learning interpretation?
Understanding a simple weight prediction model
Understanding the difference between interpretability and explainability
What is interpretability?
What is explainability?
A business case for interpretability
Better decisions
More trusted brands
More ethical
More profitable
Summary
Image sources
Further reading
Chapter 2: Key Concepts of Interpretability
The mission
Details about CVD
The approach
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 182 entries