Regularization and Bias Variance

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From the course by 斯坦福大学
Probabilistic Graphical Models 3: Learning
127 ratings
斯坦福大学
127 ratings
Course 3 of 3 in the Specialization Probabilistic Graphical Models
From the lesson
Review of Machine Learning Concepts from Prof. Andrew Ng's Machine Learning Class (Optional)
This module contains some basic concepts from the general framework of machine learning, taken from Professor Andrew Ng's Stanford class offered on Coursera. Many of these concepts are highly relevant to the problems we'll tackle in this course.

Meet the Instructors

  • Daphne Koller
    Daphne Koller
    Professor
    School of Engineering