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
Linear and Weighted Regression: Solution to Exercises
Graph Chatbot
Related lectures (51)
Receiver-Operator Characteristics: ROC Curves
Log in to Mediaspace to watch this video
Explains ROC curves, Precision-Recall curve, RMSLE, and model validation.
Edge Detection: Deep Learning Insights
Log in to Mediaspace to watch this video
Explores the evolution of edge detection techniques, from Canny to deep learning insights.
Machine Learning: Supervised and Unsupervised Learning Techniques
Log in to Mediaspace to watch this video
Covers supervised and unsupervised learning techniques in machine learning, highlighting their applications in finance and environmental analysis.
Decision Trees: Regression and Classification
Log in to Mediaspace to watch this video
Covers decision trees for regression and classification, explaining tree construction, feature selection, and criteria for induction.
Overfitting in Supervised Learning: Case Studies and Techniques
Log in to Mediaspace to watch this video
Addresses overfitting in supervised learning through polynomial regression case studies and model selection techniques.
Gaussian Mixture Regression: Theory and Applications
Log in to Mediaspace to watch this video
Explores Gaussian mixture regression and overfitting with multiple Gauss functions.
Polynomial Regression and Gradient Descent
Log in to Mediaspace to watch this video
Covers polynomial regression, gradient descent, overfitting, underfitting, regularization, and feature scaling in optimization algorithms.
Linear Regression: Basics and Gradient Descent
Log in to Mediaspace to watch this video
Covers the basics of linear regression, including feature engineering, supervised vs. unsupervised learning, and minimizing the cost function.
Untitled
Log in to Mediaspace to watch this video
Quantile Regression: Linear Optimization
Log in to Mediaspace to watch this video
Covers quantile regression, focusing on linear optimization for predicting outputs and discussing sensitivity to outliers, problem formulation, and practical implementation.
Feature Engineering: Missing Data and Standardization
Log in to Mediaspace to watch this video
Covers techniques for handling missing data and standardizing features, as well as transforming input and output data.
Previous
Page 3 of 3
Next
