Bayesian Networks 8 - Smoothing | Stanford CS221: AI (Autumn 2021)
For more information about Stanford's Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai
Associate Professor Percy Liang
Associate Professor of Computer Science and Statistics (courtesy)
https://profiles.stanford.edu/percy-l...
Assistant Professor Dorsa Sadigh
Assistant Professor in the Computer Science Department & Electrical Engineering Department
https://profiles.stanford.edu/dorsa-s...
To follow along with the course schedule and syllabus, visit:
https://stanford-cs221.github.io/autu...
0:00 Introduction
0:06 Bayesian networks: smoothing
0:11 Review: maximum likelihood
1:49 Laplace smoothing example
3:45 Laplace smoothing Key idea: maximum likelihood with Laplace smoothing
4:47 Interplay between smoothing and data
6:16 Summary
#bayesian
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