Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Interpreting Machine Learning Models: Learn Model Interpretability and Explainability Methods

Interpreting Machine Learning Models: Learn Model Interpretability and Explainability Methods

Nandi, Anirban
Pal, Aditya Kumar

Paperback

General ComputersProgramming

Currently unavailable to order

ISBN10: 1484278011
ISBN13: 9781484278017
Publisher: Apress
Published: Dec 16 2021
Pages: 343
Weight: 1.40
Height: 0.76 Width: 7.00 Depth: 10.00
Language: English

Understand model interpretability methods and apply the most suitable one for your machine learning project. This book details the concepts of machine learning interpretability along with different types of explainability algorithms.

You'll begin by reviewing the theoretical aspects of machine learning interpretability. In the first few sections you'll learn what interpretability is, what the common properties of interpretability methods are, the general taxonomy for classifying methods into different sections, and how the methods should be assessed in terms of human factors and technical requirements. Using a holistic approach featuring detailed examples, this book also includes quotes from actual business leaders and technical experts to showcase how real life users perceive interpretability and its related methods, goals, stages, and properties.

Also in

General Computers

View All