ISTQB AI Testing Certification - Chapter 4 ML Data

Data is the backbone of Machine Learning! In chapter 4 of the AI Testing syllabus you’ll learn the art of data preparation, from acquisition to preprocessing and feature engineering, ensuring quality inputs for ML models. Understand the roles of training, validation, and test datasets in building robust models. Dive into data quality issues, like mislabeled or biased data, and their impact on model performance. Explore data labeling techniques for supervised learning and how to spot errors.

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