Concept
Bias (statistics)
Related lectures (33)
Geometric Ergodicity: Convergence Diagnostics
Covers the concept of geometric ergodicity in the context of convergence diagnostics for Markov chains.
Location-Based Social Networks: Insights & Analysis
Explores motivations for check-ins, human mobility patterns, and biases in mobility data from location-based social networks.
Social and Information Networks 2: Evolution
Delves into social and information networks dynamics, including herding behavior, information cascades, preferential attachment, and the Friendship Paradox.
Introduction to Human Rights
Introduces key human rights concepts, explores discrimination, social norms, and the impact of algorithms on rights.
Statistical Models and Parameter Estimation
Explores statistical models, parameter estimation, and sampling distributions in probability and statistics.
Linear Classification: Signal Processing
Explores linear classification, feature extraction, loss functions, cross-validation, and spatial scales in signal processing and fMRI analysis.
Observational vs Experimental Studies
Covers the reliability of observational and experimental studies, participant selection, data bias, and result accuracy.
AI Ethics: Data Bias and Justice
Explores data bias, fairness, and justice in AI systems, highlighting the ethical challenges and considerations involved.
AI Ethics: Bias, Responsibility, and Accountability
Explores AI ethics, addressing bias, responsibility, and accountability in algorithm design and outcomes.
Error-Correcting Codes
Explores error-correcting codes, decoding processes, constraints satisfaction, randomness in code selection, and error compensation methods.