The book examines meaningful metrics for diverse types of learning paradigms and applications, unbiased estimation methods, rigorous statistical analysis, fair training sets, and meaningful explainability, all of which are essential to building robust and reliable machine learning products.
Specifications
Key Features
The book examines meaningful metrics for diverse types of learning paradigms and applications, unbiased estimation methods, rigorous statistical analysis, fair training sets, and meaningful explainability, all of which are essential to building robust and reliable machine learning products.
What’s in the box
1 book
Specifications
SKU: JU506BM511HHYNAFAMZ
Weight (kg): 0.3
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Jumia Books Machine Learning Evaluation: Towards Reliable and Responsible AI Book by Nathalie Japkowicz and Zois Boukouvalas