Testing ML systems
Practical AI
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Navigating the Machine Learning Landscape
This chapter traces the professional journey of an individual transitioning from a PhD in material science to a career in machine learning and data engineering. It discusses the distinct roles within the machine learning pipeline, highlighting the integration and collaboration necessary for successful deployment of systems. Additionally, the chapter emphasizes the unique challenges of testing and validating machine learning models, addressing the importance of explainability and bias mitigation in real-world applications.
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