The Hitchhiker's Guide to Responsible Machine Learning | Interpretable and eXplainable Artificial Intelligence with examples in R

Przemys¿aw Biecek (u. a.)

ISBN 10: 8365291126 / ISBN 13: 9788365291127

Published by Scientific Foundation SmarterPoland.pl, 2022

About this Item

The Hitchhiker's Guide to Responsible Machine Learning | Interpretable and eXplainable Artificial Intelligence with examples in R | Przemys¿aw Biecek (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2022 | Scientific Foundation [.] | EAN 9788365291127 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Seller Inventory # 121364526

Bibliographic Details

• Title: The Hitchhiker's Guide to Responsible Machine Learning | Interpretable and eXplainable Artificial Intelligence with examples in R
• Publisher: Scientific Foundation SmarterPoland.pl
• Publication Date: 2022
• Language: English
• ISBN 10: 8365291126
• ISBN 13: 9788365291127
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 297W x 210H x 4D millimeters 297 millimeters width by 210 millimeters height by 4 millimeters depth
• Weight: 229 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

This book is a unique entanglement of theory, examples and processes relevant to Responsible Machine Learning. You will find intuitions and examples for Interpretable Machine Learning (IML) and eXplainable Artificial Intelligence (XAI). Descriptions are supplemented by code snippets with examples for R with the use of randomForest, mlr3 and DALEX packages. Finally, the process is shown through a comic book describing the adventures of two characters, Beta and Bit. The interaction of these two shows the decisions that analysts often face, whether to try a different model, try another technique for exploration or look for other data -- questions like how to compare models or validate them. All examples are fully reproducible so that one can replay all adventures on a local desktop. Model development is a responsible and challenging task but also an exciting adventure. Sometimes textbooks focus only on the technical side, losing all the fun. Here we are going to have it all.

About the Author

Supplementary materials are available at https: //github.com/BetaAndBit/RML. You will find there free flipbook, data and reproducible code snippets.