ISTQB AI Testing Certification - Chapter 3 Machine Learning Overview

AI isn’t just tested—it can transform testing!

Machine Learning, or ML, powers AI by enabling systems to learn from data. In chapter 3 of the AI Testing syllabus you’ll explore three forms: supervised learning for labeled data, unsupervised for finding patterns, and reinforcement learning driven by trial and reward. The ML workflow covers data preparation, algorithm selection, model training, and evaluation. Learn to choose the right ML form and algorithm based on your goals, and tackle challenges like overfitting, where models cling too closely to training data, or underfitting, where they miss the mark.

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