What is this book about? Debugging Machine Learning Models with Python is a comprehensive guide that navigates you through the entire spectrum of mastering machine learning, from foundational concepts ...

Abstract: This paper presents a comprehensive comparative analysis of three distinct prompt engineering strategies—Zero-Shot, Few-Shot, and Chain-of-Thought—for Python code debugging applications ...

description [ICLR2026][Interpretability][Concept Bottleneck Models] To address the issue of Concept Bottleneck Models (CBMs) learning spurious concepts and systematic misalignment with expert ...

Debugging machine learning (ML) models isn’t a walk in the woods. Just ask the data scientists and engineers at Uber, some of whom have the unenviable task of digging into algorithms to diagnose the ...

Abstract: Debugging is considered as a rigorous but important feature of software engineering process. Since more than a decade, the software engineering research community is exploring different ...

A month after releasing the code for one of the core algorithms behind Bing, Microsoft Corp. today made another notable contribution to the open-source community. The company’s research division today ...