10-01-2022, 02:41 | view 👀:26 | 🙍 oneddl | redaktor: Baturi | Rating👍:

Interpreting Machine Learning Models Learn Model Interpretability and Explainability Methods [#355183]

Name: Interpreting Machine Learning Models Learn Model Interpretability and Explainability Methods
Author: Baturi

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.
Progressing through the book, you'll dive deep into the technical details of the interpretability domain. Starting off with the general frameworks of different types of methods, you'll use a data set to see how each method generates output with actual code and implementations. These methods are divided into different types based on their explanation frameworks, with some common categories listed as feature importance based methods, rule based methods, saliency maps methods, counterfactuals, and concept attribution. The book concludes by showing how data effects interpretability and some of the pitfalls prevalent when using explainability methods.
What You'll Learn
Understand machine learning model interpretability
Explore the different properties and selection requirements of various interpretability methods
Review the different types of interpretability methods used in real life by technical experts
Interpret the output of various methods and understand the underlying problems
Who This Book Is For
Machine learning practitioners, data scientists and statisticians interested in making machine learning models interpretable and explainable; academic students pursuing courses of data science and business analytics.

Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me

.html

https://rapidgator.net/file/ba2e4e7832eb3c940631fdef09dd3b1c/j7znd.I.M.L.M.L.M.I.a.E.M.rar.html

⚠️ Dead Link ?
You may submit a re-upload request using the search feature. All requests are reviewed in accordance with our Content Policy.

Request Re-upload

Significant surge in the popularity of free ebook download platforms. These virtual repositories offer an unparalleled range, covering genres that span from classic literature to contemporary non-fiction, and everything in between. Enthusiasts of reading can easily indulge in their passion by accessing free books download online services, which provide instant access to a wealth of knowledge and stories without the physical constraints of space or the financial burden of purchasing hardcover editions.

Interpreting Machine Learning Models Learn Model Interpretability and Explainability Methods [#355183]

Comments (0)

Log in