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
GIS and Participative Planning: Case Study
Graph Chatbot
Related lectures (31)
Hydroacoustics for Hydroelectric Installations
Log in to Mediaspace to watch this video
Explores hydroacoustic simulation parameters, mass oscillation modeling, and validation errors in hydroelectric installations.
Decision Trees: Classification
Log in to Mediaspace to watch this video
Explores decision trees for classification, entropy, information gain, one-hot encoding, hyperparameter optimization, and random forests.
Model Evaluation
Log in to Mediaspace to watch this video
Explores underfitting, overfitting, hyperparameters, bias-variance trade-off, and model evaluation in machine learning.
Machine Learning Fundamentals: Overfitting and Regularization
Log in to Mediaspace to watch this video
Covers overfitting, regularization, and cross-validation in machine learning, exploring polynomial curve fitting, feature expansion, kernel functions, and model selection.
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.
Model Selection and Evaluation
Log in to Mediaspace to watch this video
Discusses the experimental framework for selecting and evaluating supervised learning models to prevent overfitting.
Machine Learning Fundamentals: Regularization and Cross-validation
Log in to Mediaspace to watch this video
Explores overfitting, regularization, and cross-validation in machine learning, emphasizing the importance of feature expansion and kernel methods.
Image Classification: Overfitting and Accuracy Measures
Log in to Mediaspace to watch this video
Explores overfitting and accuracy measures in image classification, emphasizing the importance of model generalization and optimal accuracy.
Cross-validation & Regularization
Log in to Mediaspace to watch this video
Explores polynomial curve fitting, kernel functions, and regularization techniques, emphasizing the importance of model complexity and overfitting.
Polynomial Regression: Basics and Regularization
Log in to Mediaspace to watch this video
Covers the basics of polynomial regression and regularization to prevent overfitting.
Regression Trees and Ensemble Methods in Machine Learning
Log in to Mediaspace to watch this video
Discusses regression trees, ensemble methods, and their applications in predicting used car prices and stock returns.
Previous
Page 2 of 2
Next