Bias in Data
Alexandre shares his passion for the history of science, emphasizing the importance of understanding biases in data. He highlights how biases can often be implicit, shaped by personal experiences and education. The discussion also touches on the significance of making hidden assumptions explicit, particularly in models that aim to explain social or political phenomena.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
793: Bayesian Methods and Applications — with Alexandre Andorra
Related Questions
What is Bayesian statistics, and how does it relate to the episode Prof. BERT DE VRIES - ON ACTIVE INFERENCE and the clip Bayesian Learning Books from the Lex Fridman Podcast #74 with Michael I. Jordan? How does it also relate to the clip "Decision Theory Insights"?
Could you elaborate on the suspicion of bias in Wikipedia entries as discussed in the episode "Balaji Srinivasan: How to Fix Government, Twitter, Science, and the FDA | Lex Fridman Podcast #331" and the clip "Wikipedia's Epistemology"?
Could you elaborate on the suspicion of bias in Wikipedia entries as discussed in the episode Balaji Srinivasan: How to Fix Government, Twitter, Science, and the FDA | Lex Fridman Podcast #331 and the clip Wikipedia's Epistemology?