Python Debugging for AI, Machine Learning, and Cloud Computing: A Pattern-Oriented Approach

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2024

D. VostokovPython Debugging for AI, Machine Learning, and Cloud Computinghttps://doi.org/10.1007/978-1-4842-9745-2_14

14. Challenges of Python Debugging in AI and Machine Learning

Dmitry Vostokov¹  

(1)

Dalkey, Dublin, Ireland

 

In the previous chapter, you looked at the challenges of debugging in the cloud. 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