Regularization and Bias Variance

From the course by Stanford University
Probabilistic Graphical Models 3: Learning
151 ratings
Stanford University
151 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
    School of Engineering

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