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Related lectures (32)

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Generalization in Deep Learning

Explores generalization in deep learning, covering model complexity, implicit bias, and the double descent phenomenon.

Understanding Generalization: Implicit Bias & Optimization

Explores the trade-off between complexity and risk in machine learning models, the benefits of overparametrization, and the implicit bias of optimization algorithms.

Controversies: Introduction

Introduces controversies in the sociology of science and society, focusing on the study of social groups and networks.

AI and FX Practical Course

Introduces the AI and FX practical course, focusing on weekly readings and discussions on ethical and legal aspects of AI.

Gender Impact in Engineering Education

Examines the influence of gender on engineering students' group work experiences, focusing on biases, stereotypes, and inclusive teaching strategies.

Gender Impact in Engineering Education

Explores the impact of gender on engineering students' group work experiences, emphasizing the need to address implicit biases and stereotypes.

Implicit Bias in Academic Feedback

Analyzes the impact of implicit bias on academic feedback and student teamwork in university STEM programs.

Recognizing and Avoiding Implicit Bias

Delves into how behaviors are perceived differently based on the person exhibiting them.

Implicit Biases: Recognizing and Avoiding

Explores implicit biases, focusing on recognizing and avoiding them through the Implicit Association Test (IAT).

Overcoming Implicit Biases: Recognize, Avoid, Act

Explores strategies to recognize and overcome implicit biases through controlled cognition and breaking stereotypical associations.