This unit explores the ethical considerations in machine learning, including bias, fairness, privacy, and accountability. Students will learn how to identify and mitigate these ethical concerns in the development and deployment of machine learning models. Üben mit sofortiger Rückmeldung, kostenlos und ohne Anmeldung.

Weitere Themen

• Introduction to Machine Learning
• Supervised Learning
• Unsupervised Learning
• Model Selection and Evaluation
• Data Cleaning and Transformation
• Feature Selection and Extraction
• Data Visualization
• Deep Learning