Table of Contents
Preface
Part 1: Debugging for Machine Learning Modeling
1
Beyond Code Debugging
Technical requirements
Machine learning at a glance
Types of machine learning modeling
Supervised learning
Unsupervised learning
Self-supervised learning
Semi-supervised learning
Reinforcement learning
Generative machine learning
Debugging in software development
Error messages in Python
Debugging techniques
Debuggers
Best practices for high-quality Python programming
Version control
Debugging beyond Python
Flaws in data used for modeling
Data format and structure
Data quantity and quality
Data biases
Model and prediction-centric debugging
Underfitting and overfitting
Inference in model testing and production
Data or hyperparameters for changing ...
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