Stanford CS229 Machine Learning Lecture 12: Bias, Variance & Regularization Explained πŸ“š

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 CS229 Machine Learning Lecture 12: Bias, Variance & Regularization Explained πŸ“š
Stanford Online
19.4K views β€’ Apr 20, 2021
Stanford CS229 Machine Learning Lecture 12: Bias, Variance & Regularization Explained πŸ“š

About this video

For more information about Stanford’s 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

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Apr 20, 2021

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