Stanford CS229 Machine Learning Lecture 12: Bias, Variance & Regularization Explained π
Dive into Lecture 12 of Stanford's CS229 to understand bias, variance, and regularization techniques in machine learning. Perfect for enthusiasts and professionals alike!

Stanford Online
19.4K views β’ Apr 20, 2021

About this video
For more information about Stanfordβs Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3notMzh
Anand Avati
Computer Science, PhD
To follow along with the course schedule and syllabus, visit:
http://cs229.stanford.edu/syllabus-summer2019.html
Anand Avati
Computer Science, PhD
To follow along with the course schedule and syllabus, visit:
http://cs229.stanford.edu/syllabus-summer2019.html
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Views
19.4K
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170
Duration
01:55:40
Published
Apr 20, 2021
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4.3
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