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Overfitting vs. Underfitting (Pilot)

SUMMARY Throughout this lesson, you will learn about two common problems in model fitting: overfitting and underfitting. This lesson will guide you on how to…

The Big Data Journey (Pilot)

SUMMARY In this lesson, we will provide a complete scheme of the stages through which data travels and the components of a Big Data setup.…

Quiz: AI modern developments (Pilot)

SUMMARY In this quiz, we will evaluate the fundamental concepts of Explainable AI and Large Language Models (LLMs). The student will be able to explain…

Explainable AI: Two Key Techniques (Pilot)

SUMMARY This course introduces two powerful methods for explainable AI: Local Interpretable Model-agnostic Explanations (LIME) and Before and After Correction Parameter Comparison (BAPC). As AI…