Study Notes – Introduction to Testing Machine Learning Models
Published on June 30, 2024
The prevalence of machine learning (ML) and artificial intelligence (AI) in solving complex problems has increased, leading to a demand for testing professionals to support data science and ML teams with their data, pipelines, models, services, and AI ethics. This course focuses on the unique aspects of testing ML models compared to traditional programming. It uses Python, the most popular language for ML and AI, and starts by explaining the differences between ML and traditional programming.
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