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.
Ik heb een vraag over het boek: ‘Machine Learning Evaluation - Japkowicz, Nathalie (American University, Boukouvalas, Zois (American University’.
Vul het onderstaande formulier in.
We zullen zo spoedig mogelijk antwoorden.
