Skip to main content
Graph
Search
fr
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Quizes
Exercises
Publications
Startups
Units
Show all results for
Home
Lecture
Regularization: Tikhonov and Ridge
Graph Chatbot
Related lectures (27)
Linear Regression: Regularization Overview
Log in to Mediaspace to watch this video
Explores linear regression fundamentals, emphasizing the importance of regularization techniques to enhance model performance.
Model Complexity and Overfitting in Machine Learning
Log in to Mediaspace to watch this video
Covers model complexity, overfitting, and strategies to select appropriate machine learning models.
Back to Linear Regression
Log in to Mediaspace to watch this video
Covers linear regression, regularization, inverse problems, X-ray tomography, image reconstruction, data inference, and detector intensity.
Kernel Methods: Understanding Overfitting and Model Selection
Log in to Mediaspace to watch this video
Discusses kernel methods, focusing on overfitting, model selection, and kernel functions in machine learning.
Understanding Data Attributes
Log in to Mediaspace to watch this video
Covers the analysis of various data attributes and linear regression models.
Kernel Methods in Machine Learning: Kernel Regression and SVM
Log in to Mediaspace to watch this video
Discusses kernel methods in machine learning, focusing on kernel regression and support vector machines, including their formulations and applications.
Regularization in Machine Learning
Log in to Mediaspace to watch this video
Introduces regularization techniques to prevent overfitting in machine learning models.
Previous
Page 2 of 2
Next