Explores strategies to reduce bias in education and highlights the impact of interventions on student outcomes.
Delves into the underrepresentation of women in leadership, addressing implicit bias, gender stereotypes, and social identity theory.
Explores strategies to overcome implicit bias through awareness, motivation, and effort, using practical techniques and examples.
Covers the principles and methods of clustering in machine learning, including similarity measures, PCA projection, K-means, and initialization impact.
