Background

This unit delves into the critical aspects of responsibly applying machine learning, focusing on real-world scenarios presented through engaging case studies. By exploring key topics such as reproducibility, bias, and interpretability, learners will gain practical insights into the ethical and methodological considerations essential for robust machine learning practices. The content is structured chronologically, guiding learners step-by-step through the lifecycle of a research study to emphasize the importance of ethical decision-making at every stage.