Challenges of Python Debugging in AI and Machine Learning

In this chapter, you will continue surveying debugging challenges in a different domain. The Python language has established itself as the de facto standard language for many artificial intelligence (AI) and machine learning (ML) projects due to its simplicity and the robustness of its libraries like Pandas, TensorFlow, Keras, PyTorch, and scikit-learn. However, debugging Python code in AI/ML introduces unique challenges due to the interplay of data, models, algorithms, and hardware, which aren’t as prevalent in conventional software development. This chapter surveys some of these challenges.