Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Stanford University

Stanford CS109 - Fairness in Probability for Computer Scientists - Lecture 26

Stanford University via YouTube

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the concept of fairness in computer science through this lecture from Stanford University's CS109 course. Delve into the complexities of implementing fairness in algorithmic systems and machine learning models. Learn from Assistant Professor Chris Piech as he discusses the importance of ethical considerations in probability and statistics for computer scientists. Gain insights into how fairness principles can be applied to real-world scenarios and understand the challenges of creating unbiased algorithms. Access additional course materials and resources through the provided course website to enhance your learning experience.

Syllabus

Stanford CS109 I Fairness I 2022 I Lecture 26

Taught by

Stanford Online

Reviews

Start your review of Stanford CS109 - Fairness in Probability for Computer Scientists - Lecture 26

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.