Machine Learning Evaluation - Towards Reliable and Responsible Ai

Summary

This accessible, comprehensive guide is aimed at students, practitioners, engineers, and users. The emphasis is on building robust, responsible machine learning products incorporating meaningful metrics, rigorous statistical analysis, fair training sets, and explainability. Implementations in Python and sklearn are available on the book's website.

Product details

• Authors: Zois Boukouvalas, Nathalie Japkowicz, Nathalie (American University Japkowicz, Japkowicz Nathalie, Mohak Shah
• Publisher: Cambridge University Press ELT
• Languages: English
• Product format: Hardback
• Released: 31.08.2024
• EAN: 9781316518861
• ISBN: 978-1-316-51886-1
• No. of pages: 426
• Subjects: Guides; Natural sciences, medicine, IT, technology > IT, data processing > IT; machine learning, Artificial Intelligence, COMPUTERS / Computer Science, COMPUTERS / Networking / General, COMPUTERS / Optical Data Processing, pattern recognition, Information technology: general issues, Computer networking & communications, COMPUTERS / Artificial Intelligence / General, Applied computing, COMPUTERS / Data Science / Machine Learning, Computer networking and communications